{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d0d619a8",
   "metadata": {},
   "source": [
    "# 数据理解输出"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2210df3",
   "metadata": {},
   "source": [
    "## 分析数据集的基本结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "88c11d35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
       "      <th>总二氧化硫</th>\n",
       "      <th>密度</th>\n",
       "      <th>PH值</th>\n",
       "      <th>硫酸盐</th>\n",
       "      <th>酒精</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.99780</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.99680</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.99700</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.99800</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.99780</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>6.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.08</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.090</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99490</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.58</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.062</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.99512</td>\n",
       "      <td>3.52</td>\n",
       "      <td>0.76</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.076</td>\n",
       "      <td>29.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.99574</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.75</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.075</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99547</td>\n",
       "      <td>3.57</td>\n",
       "      <td>0.71</td>\n",
       "      <td>10.2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.47</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.067</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.99549</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.66</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1596 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      固定酸度  挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫       密度   PH值   硫酸盐    酒精  \\\n",
       "0      7.4    0.7  0.00  1.9  0.076    11.0   34.0  0.99780  3.51  0.56   9.4   \n",
       "1      7.8   0.88  0.00  2.6  0.098    25.0   67.0  0.99680  3.20  0.68   9.8   \n",
       "2      7.8   0.76  0.04  2.3  0.092    15.0   54.0  0.99700  3.26  0.65   9.8   \n",
       "3     11.2   0.28  0.56  1.9  0.075    17.0   60.0  0.99800  3.16  0.58   9.8   \n",
       "4      7.4    0.7  0.00  1.9  0.076    11.0   34.0  0.99780  3.51  0.56   9.4   \n",
       "...    ...    ...   ...  ...    ...     ...    ...      ...   ...   ...   ...   \n",
       "1591   6.2    0.6  0.08  2.0  0.090    32.0   44.0  0.99490  3.45  0.58  10.5   \n",
       "1592   5.9   0.55  0.10  2.2  0.062    39.0   51.0  0.99512  3.52  0.76  11.2   \n",
       "1593   6.3   0.51  0.13  2.3  0.076    29.0   40.0  0.99574  3.42  0.75  11.0   \n",
       "1594   5.9  0.645  0.12  2.0  0.075    32.0   44.0  0.99547  3.57  0.71  10.2   \n",
       "1595   6.0   0.31  0.47  3.6  0.067    18.0   42.0  0.99549  3.39  0.66  11.0   \n",
       "\n",
       "      质量评分  \n",
       "0        5  \n",
       "1        5  \n",
       "2        5  \n",
       "3        6  \n",
       "4        5  \n",
       "...    ...  \n",
       "1591     5  \n",
       "1592     6  \n",
       "1593     6  \n",
       "1594     5  \n",
       "1595     6  \n",
       "\n",
       "[1596 rows x 12 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读取数据\n",
    "import pandas as pd\n",
    "wine_data = pd.read_csv(\"红酒.csv\",encoding='utf-8')\n",
    "wine_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "id": "b238628a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1596, 12)\n",
      "Index(['固定酸度', '挥发性酸度', '柠檬酸', '残糖', '氯化物', '游离二氧化硫', '总二氧化硫', '密度', 'PH值',\n",
      "       '硫酸盐', '酒精', '质量评分'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "#葡萄酒数据的行数，列数\n",
    "print(wine_data.shape)\n",
    "#查看葡萄酒数据的列名\n",
    "print(wine_data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "id": "ae428596",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "葡萄酒数据的前10行:\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
       "      <th>总二氧化硫</th>\n",
       "      <th>密度</th>\n",
       "      <th>PH值</th>\n",
       "      <th>硫酸盐</th>\n",
       "      <th>酒精</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.075</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.069</td>\n",
       "      <td>15.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.9964</td>\n",
       "      <td>3.30</td>\n",
       "      <td>0.46</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.3</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.065</td>\n",
       "      <td>15.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.9946</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.47</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.073</td>\n",
       "      <td>9.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.36</td>\n",
       "      <td>0.57</td>\n",
       "      <td>9.5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.36</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.071</td>\n",
       "      <td>17.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.35</td>\n",
       "      <td>0.80</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   固定酸度 挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫      密度   PH值   硫酸盐    酒精  质量评分\n",
       "0   7.4   0.7  0.00  1.9  0.076    11.0   34.0  0.9978  3.51  0.56   9.4     5\n",
       "1   7.8  0.88  0.00  2.6  0.098    25.0   67.0  0.9968  3.20  0.68   9.8     5\n",
       "2   7.8  0.76  0.04  2.3  0.092    15.0   54.0  0.9970  3.26  0.65   9.8     5\n",
       "3  11.2  0.28  0.56  1.9  0.075    17.0   60.0  0.9980  3.16  0.58   9.8     6\n",
       "4   7.4   0.7  0.00  1.9  0.076    11.0   34.0  0.9978  3.51  0.56   9.4     5\n",
       "5   7.4  0.66  0.00  1.8  0.075    13.0   40.0  0.9978  3.51  0.56   9.4     5\n",
       "6   7.9   0.6  0.06  1.6  0.069    15.0   59.0  0.9964  3.30  0.46   9.4     5\n",
       "7   7.3  0.65  0.00  1.2  0.065    15.0   21.0  0.9946  3.39  0.47  10.0     7\n",
       "8   7.8  0.58  0.02  2.0  0.073     9.0   18.0  0.9968  3.36  0.57   9.5     7\n",
       "9   7.5   0.5  0.36  6.1  0.071    17.0  102.0  0.9978  3.35  0.80  10.5     5"
      ]
     },
     "execution_count": 462,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#输出数据的前10行\n",
    "data_head = wine_data.head(10)\n",
    "print(\"葡萄酒数据的前10行:\")\n",
    "data_head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "id": "48c7d2ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "葡萄酒数据的后10行:\n"
     ]
    },
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
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       "      <th>质量评分</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1586</th>\n",
       "      <td>6.6</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.20</td>\n",
       "      <td>7.8</td>\n",
       "      <td>0.073</td>\n",
       "      <td>29.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.99770</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0.54</td>\n",
       "      <td>9.2</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1587</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.077</td>\n",
       "      <td>26.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.99314</td>\n",
       "      <td>3.32</td>\n",
       "      <td>0.82</td>\n",
       "      <td>11.6</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>1588</th>\n",
       "      <td>5.4</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.089</td>\n",
       "      <td>16.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.99402</td>\n",
       "      <td>3.67</td>\n",
       "      <td>0.56</td>\n",
       "      <td>11.6</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>1589</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.076</td>\n",
       "      <td>29.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.99574</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.75</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
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       "      <th>1590</th>\n",
       "      <td>6.8</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.08</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.068</td>\n",
       "      <td>28.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.99651</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.82</td>\n",
       "      <td>9.5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>6.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.08</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.090</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99490</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.58</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.062</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.99512</td>\n",
       "      <td>3.52</td>\n",
       "      <td>0.76</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.076</td>\n",
       "      <td>29.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.99574</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.75</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.075</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99547</td>\n",
       "      <td>3.57</td>\n",
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       "      <th>1595</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.47</td>\n",
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       "      <td>0.067</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.99549</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.66</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
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      ],
      "text/plain": [
       "      固定酸度  挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫       密度   PH值   硫酸盐    酒精  \\\n",
       "1586   6.6  0.725  0.20  7.8  0.073    29.0   79.0  0.99770  3.29  0.54   9.2   \n",
       "1587   6.3   0.55  0.15  1.8  0.077    26.0   35.0  0.99314  3.32  0.82  11.6   \n",
       "1588   5.4   0.74  0.09  1.7  0.089    16.0   26.0  0.99402  3.67  0.56  11.6   \n",
       "1589   6.3   0.51  0.13  2.3  0.076    29.0   40.0  0.99574  3.42  0.75  11.0   \n",
       "1590   6.8   0.62  0.08  1.9  0.068    28.0   38.0  0.99651  3.42  0.82   9.5   \n",
       "1591   6.2    0.6  0.08  2.0  0.090    32.0   44.0  0.99490  3.45  0.58  10.5   \n",
       "1592   5.9   0.55  0.10  2.2  0.062    39.0   51.0  0.99512  3.52  0.76  11.2   \n",
       "1593   6.3   0.51  0.13  2.3  0.076    29.0   40.0  0.99574  3.42  0.75  11.0   \n",
       "1594   5.9  0.645  0.12  2.0  0.075    32.0   44.0  0.99547  3.57  0.71  10.2   \n",
       "1595   6.0   0.31  0.47  3.6  0.067    18.0   42.0  0.99549  3.39  0.66  11.0   \n",
       "\n",
       "      质量评分  \n",
       "1586     5  \n",
       "1587     6  \n",
       "1588     6  \n",
       "1589     6  \n",
       "1590     6  \n",
       "1591     5  \n",
       "1592     6  \n",
       "1593     6  \n",
       "1594     5  \n",
       "1595     6  "
      ]
     },
     "execution_count": 463,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#输出数据的后10行\n",
    "data_tail = wine_data.tail(10)\n",
    "print(\"\\n葡萄酒数据的后10行:\")\n",
    "data_tail"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e95dec48",
   "metadata": {},
   "source": [
    "## 分析数据集中所有变量的类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "id": "4dfdb073",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "固定酸度      float64\n",
       "挥发性酸度      object\n",
       "柠檬酸       float64\n",
       "残糖        float64\n",
       "氯化物       float64\n",
       "游离二氧化硫    float64\n",
       "总二氧化硫     float64\n",
       "密度        float64\n",
       "PH值       float64\n",
       "硫酸盐       float64\n",
       "酒精        float64\n",
       "质量评分        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 464,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef72afe7",
   "metadata": {},
   "source": [
    "# 数据清洗"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac18924f",
   "metadata": {},
   "source": [
    "## 查看数据缺失情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "id": "c954ff26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "固定酸度      0\n",
       "挥发性酸度     0\n",
       "柠檬酸       1\n",
       "残糖        1\n",
       "氯化物       0\n",
       "游离二氧化硫    2\n",
       "总二氧化硫     0\n",
       "密度        0\n",
       "PH值       1\n",
       "硫酸盐       0\n",
       "酒精        0\n",
       "质量评分      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 465,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据的确实情况\n",
    "wine_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "id": "b1eca009",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
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       "      <td>16.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.22</td>\n",
       "      <td>0.72</td>\n",
       "      <td>11.2</td>\n",
       "      <td>5</td>\n",
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       "      <th>522</th>\n",
       "      <td>10.4</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.105</td>\n",
       "      <td>29.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>0.9998</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.67</td>\n",
       "      <td>9.9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     固定酸度 挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫      密度   PH值   硫酸盐    酒精  \\\n",
       "10    6.7  0.58  0.08  1.8  0.097    15.0   65.0  0.9959   NaN  0.54   9.2   \n",
       "19    7.9  0.32  0.51  1.8  0.341     NaN   56.0  0.9969  3.04  1.08   9.2   \n",
       "444   9.3  0.48   NaN  2.1  0.127     6.0   16.0  0.9968  3.22  0.72  11.2   \n",
       "517   9.8  0.25  0.49  2.7  0.088     NaN   33.0  0.9982  3.42  0.90  10.0   \n",
       "522  10.4  0.64  0.24  NaN  0.105    29.0   53.0  0.9998  3.24  0.67   9.9   \n",
       "\n",
       "     质量评分  \n",
       "10      5  \n",
       "19      6  \n",
       "444     5  \n",
       "517     6  \n",
       "522     5  "
      ]
     },
     "execution_count": 466,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#输出各缺失值分布的行数\n",
    "rows = wine_data[wine_data.isnull().any(axis=1)]\n",
    "rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "id": "7f29ed2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.5</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.068</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.9955</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.64</td>\n",
       "      <td>9.4</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>8.6</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.36</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.081</td>\n",
       "      <td>30.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>7.6</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.15</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.110</td>\n",
       "      <td>33.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.9955</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.63</td>\n",
       "      <td>10.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    固定酸度 挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫      密度   PH值   硫酸盐    酒精  \\\n",
       "47   8.8  0.66  0.26  1.7  0.074     4.0   23.0  0.9971  3.15  0.74   9.2   \n",
       "48   6.6   0.5  0.04  2.2  0.069     8.0   15.0  0.9956  3.40  0.63   9.4   \n",
       "49   6.6   0.5  0.04  2.1  0.068     6.0   14.0  0.9955  3.39  0.64   9.4   \n",
       "50   8.6  0.38  0.36  3.0  0.081    30.0  119.0  0.9970  3.20  0.56   9.4   \n",
       "51   7.6  0.51  0.15  2.8  0.110    33.0   73.0  0.9955  3.17  0.63  10.2   \n",
       "\n",
       "    质量评分  \n",
       "47     5  \n",
       "48     6  \n",
       "49     6  \n",
       "50     5  \n",
       "51     6  "
      ]
     },
     "execution_count": 467,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#挥发性酸度的数据类型较为特殊，可单独数据异常情况，并修改\n",
    "# 尝试将 '挥发性酸度' 列转换为数值，无法转换的会变成 NaN\n",
    "wine_data['挥发性酸度'] = pd.to_numeric(wine_data['挥发性酸度'], errors='coerce')\n",
    "\n",
    "# 找到转换失败的行（即为 NaN 的行）\n",
    "exceptional_values = wine_data[wine_data['挥发性酸度'].isna()]\n",
    "#将该列的异常值使用后项填充\n",
    "wine_data['挥发性酸度'] = wine_data['挥发性酸度'].bfill().astype(str)\n",
    "wine_data.iloc[47:52]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0f2ed15",
   "metadata": {},
   "source": [
    "## 处理缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 468,
   "id": "2017b326",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
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       "      <th>酒精</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
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       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.99680</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.99700</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
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       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
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       "      <td>3.16</td>\n",
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       "      <th>4</th>\n",
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       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.99780</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <th>1591</th>\n",
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       "      <td>0.6</td>\n",
       "      <td>0.08</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.090</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99490</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.58</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.062</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.99512</td>\n",
       "      <td>3.52</td>\n",
       "      <td>0.76</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6</td>\n",
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       "      <th>1593</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.076</td>\n",
       "      <td>29.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.99574</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.75</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.075</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99547</td>\n",
       "      <td>3.57</td>\n",
       "      <td>0.71</td>\n",
       "      <td>10.2</td>\n",
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       "      <th>1595</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.47</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.067</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.99549</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.66</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
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       "<p>1596 rows × 12 columns</p>\n",
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      "text/plain": [
       "      固定酸度  挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫       密度   PH值   硫酸盐    酒精  \\\n",
       "0      7.4    0.7  0.00  1.9  0.076    11.0   34.0  0.99780  3.51  0.56   9.4   \n",
       "1      7.8   0.88  0.00  2.6  0.098    25.0   67.0  0.99680  3.20  0.68   9.8   \n",
       "2      7.8   0.76  0.04  2.3  0.092    15.0   54.0  0.99700  3.26  0.65   9.8   \n",
       "3     11.2   0.28  0.56  1.9  0.075    17.0   60.0  0.99800  3.16  0.58   9.8   \n",
       "4      7.4    0.7  0.00  1.9  0.076    11.0   34.0  0.99780  3.51  0.56   9.4   \n",
       "...    ...    ...   ...  ...    ...     ...    ...      ...   ...   ...   ...   \n",
       "1591   6.2    0.6  0.08  2.0  0.090    32.0   44.0  0.99490  3.45  0.58  10.5   \n",
       "1592   5.9   0.55  0.10  2.2  0.062    39.0   51.0  0.99512  3.52  0.76  11.2   \n",
       "1593   6.3   0.51  0.13  2.3  0.076    29.0   40.0  0.99574  3.42  0.75  11.0   \n",
       "1594   5.9  0.645  0.12  2.0  0.075    32.0   44.0  0.99547  3.57  0.71  10.2   \n",
       "1595   6.0   0.31  0.47  3.6  0.067    18.0   42.0  0.99549  3.39  0.66  11.0   \n",
       "\n",
       "      质量评分  \n",
       "0        5  \n",
       "1        5  \n",
       "2        5  \n",
       "3        6  \n",
       "4        5  \n",
       "...    ...  \n",
       "1591     5  \n",
       "1592     6  \n",
       "1593     6  \n",
       "1594     5  \n",
       "1595     6  \n",
       "\n",
       "[1596 rows x 12 columns]"
      ]
     },
     "execution_count": 468,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#使用均值填充的办法填充缺失数据\n",
    "for column in wine_data.columns:\n",
    "    if wine_data[column].dtype != 'object':\n",
    "        data_mean = wine_data[column].mean()\n",
    "        wine_data[column] = wine_data[column].fillna(data_mean)  # 用均值填充\n",
    "wine_data.iloc[[10,19,444,517,522]]\n",
    "wine_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5b3712b",
   "metadata": {},
   "source": [
    "# 数据整理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "335726c4",
   "metadata": {},
   "source": [
    "## 定义新数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 469,
   "id": "2478dae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#将数据清洗后的数据生成一个新的数据集\n",
    "wine_data_clean = wine_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "908e957e",
   "metadata": {},
   "source": [
    "## 数据标准化/归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 470,
   "id": "50eed9a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.394366</td>\n",
       "      <td>0.120141</td>\n",
       "      <td>0.416300</td>\n",
       "      <td>0.535433</td>\n",
       "      <td>0.251497</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>0.115044</td>\n",
       "      <td>0.359589</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.075342</td>\n",
       "      <td>0.105175</td>\n",
       "      <td>0.436620</td>\n",
       "      <td>0.134276</td>\n",
       "      <td>0.396476</td>\n",
       "      <td>0.653543</td>\n",
       "      <td>0.227545</td>\n",
       "      <td>0.276923</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>0.123894</td>\n",
       "      <td>0.130137</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.184932</td>\n",
       "      <td>0.091820</td>\n",
       "      <td>0.239437</td>\n",
       "      <td>0.127208</td>\n",
       "      <td>0.397944</td>\n",
       "      <td>0.511811</td>\n",
       "      <td>0.197605</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1596 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          固定酸度     挥发性酸度   柠檬酸        残糖       氯化物    游离二氧化硫     总二氧化硫  \\\n",
       "0     0.247788  0.397260  0.00  0.068493  0.106845  0.140845  0.098940   \n",
       "1     0.283186  0.520548  0.00  0.116438  0.143573  0.338028  0.215548   \n",
       "2     0.283186  0.438356  0.04  0.095890  0.133556  0.197183  0.169611   \n",
       "3     0.584071  0.109589  0.56  0.068493  0.105175  0.225352  0.190813   \n",
       "4     0.247788  0.397260  0.00  0.068493  0.106845  0.140845  0.098940   \n",
       "...        ...       ...   ...       ...       ...       ...       ...   \n",
       "1591  0.141593  0.328767  0.08  0.075342  0.130217  0.436620  0.134276   \n",
       "1592  0.115044  0.294521  0.10  0.089041  0.083472  0.535211  0.159011   \n",
       "1593  0.150442  0.267123  0.13  0.095890  0.106845  0.394366  0.120141   \n",
       "1594  0.115044  0.359589  0.12  0.075342  0.105175  0.436620  0.134276   \n",
       "1595  0.123894  0.130137  0.47  0.184932  0.091820  0.239437  0.127208   \n",
       "\n",
       "            密度       PH值       硫酸盐        酒精  质量评分  \n",
       "0     0.567548  0.606299  0.137725  0.153846   0.4  \n",
       "1     0.494126  0.362205  0.209581  0.215385   0.4  \n",
       "2     0.508811  0.409449  0.191617  0.215385   0.4  \n",
       "3     0.582232  0.330709  0.149701  0.215385   0.6  \n",
       "4     0.567548  0.606299  0.137725  0.153846   0.4  \n",
       "...        ...       ...       ...       ...   ...  \n",
       "1591  0.354626  0.559055  0.149701  0.323077   0.4  \n",
       "1592  0.370778  0.614173  0.257485  0.430769   0.6  \n",
       "1593  0.416300  0.535433  0.251497  0.400000   0.6  \n",
       "1594  0.396476  0.653543  0.227545  0.276923   0.4  \n",
       "1595  0.397944  0.511811  0.197605  0.400000   0.6  \n",
       "\n",
       "[1596 rows x 12 columns]"
      ]
     },
     "execution_count": 470,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler,MinMaxScaler\n",
    "\n",
    "# 选择数值型特征进行标准化\n",
    "numerical_features = wine_data_clean.select_dtypes(include=['float64', 'int64']).columns\n",
    "# 创建 StandardScaler 对象\n",
    "scaler = StandardScaler()\n",
    "# 对选定的数值型特征进行标准化\n",
    "wine_data_clean[numerical_features] = scaler.fit_transform(wine_data[numerical_features])\n",
    "# 归一化\n",
    "scaler_minmax = MinMaxScaler()\n",
    "data_normalized = pd.DataFrame(scaler_minmax.fit_transform(wine_data_clean), columns=wine_data_clean.columns)\n",
    "data_normalized"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "158473ff",
   "metadata": {},
   "source": [
    "## 分割数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "id": "76cfa41d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "训练集和测试集分割结果：\n",
      "训练集特征数据 X_train: (1197, 11)\n",
      "测试集特征数据 X_test: (399, 11)\n",
      "训练集标签数据 y_train: (1197,)\n",
      "测试集标签数据 y_test: (399,)\n"
     ]
    }
   ],
   "source": [
    "# 将 \"质量评分\" 作为标签（y），其他列作为特征（X）\n",
    "X = data_normalized.drop(columns=[\"质量评分\"])  # 特征数据\n",
    "y = data_normalized[\"质量评分\"]  # 标签数据\n",
    "# 使用 train_test_split 进行随机分割，3/4 用于训练，1/4 用于测试\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=45)\n",
    "# 查看分割后的数据\n",
    "print(\"\\n训练集和测试集分割结果：\")\n",
    "print(f\"训练集特征数据 X_train: {X_train.shape}\")\n",
    "print(f\"测试集特征数据 X_test: {X_test.shape}\")\n",
    "print(f\"训练集标签数据 y_train: {y_train.shape}\")\n",
    "print(f\"测试集标签数据 y_test: {y_test.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71dd7632",
   "metadata": {},
   "source": [
    "# 数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4887b30",
   "metadata": {},
   "source": [
    "## 探索性数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "id": "7be6b7e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "data_normalized.hist(bins=20, figsize=(10, 6), color='skyblue', edgecolor='black')\n",
    "plt.suptitle('各数值型特征的分布', fontsize=12)\n",
    "plt.savefig('./图片/各数值型特征的分布.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 473,
   "id": "823e4154",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制特征之间的相关性热力图\n",
    "correlation_matrix = data_normalized.corr()  # 计算相关性矩阵\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n",
    "plt.title('特征相关性热力图', fontsize=16)\n",
    "plt.savefig('./图片/特征相关性热力图.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 474,
   "id": "53f8a2fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1anHvvffy2WefUbNmTVJTU+nXrx+BgYEkJyezZs0aozdaRORmpOBORERytXv3bo4cOcI333zD448/zpkzZ2jUqBFly5alZs2aLFq0iKioKIYOHUrZsmW5dOkSe/fuNVYljImJybGIyrZt2zCZTMyaNctlDp6TyWQiLi4ux5ys7Jyrc2ZnsViMoGnChAkkJiby8MMP5wg8TCaT8Ty4tLQ0zGazsdCJc6XO7EMre/TowZYtW2jcuHGuZbFarXTp0iXPskZFRbFkyRL69u2b4/EJzvMff/xxzp07R79+/VzysVqtXLhwIcc1DBs2zFjkxOmTTz654rPeLtetWzd69epF2bJlueeee6hSpYrLnDxnnVz+WIg77riD8+fP4+7ubgRYffr0wc3NjfT0dE6fPo27uzsZGRnGnMnszp8/D+ScB+cMxs6dO8fEiRMZOHCgMffOGahGR0fz66+/4u3tzU8//UTLli05cOCA8UiGypUrExoaesWhmfXr12fNmjVA1tBaZyAdHR1N7dq12bt3L/Xr13cJdEVEbiYK7kREJFcvvPACTz31FL6+vgB07tyZlJQU45lz9913H6dOneL06dNMnTqVwYMHs2HDBiO4+/PPP7nnnntc0vz3v/9N27ZteeCBB3IN7gAqVapkzK263ODBg3N92LnTrFmzePPNN6lZsybPPvussd3ZE5Wammpsu++++4yVNw8ePMiOHTsAXB6sbTKZuPfee3Pkc+DAAZ588kmOHTvGhg0bsNvteHp65rnypsPhICMjg5SUFCM4dTgc/OMf/zAW9ri8t83d3T3XnrNu3boZPYk2m4309HTuvPPOXPO9fJXJ7JyLwFSoUIElS5bw888/Gytm5hXcTZw4EYfDgclkMh5P8dZbb9GkSRNSUlKMa9izZw/VqlXLM++8vPDCC/j4+Lj0vM2ZM4cXXnjB5XeXmprKgw8+SO/evbn99tupU6fOVR/lkJmZyc8//8yGDRtYtWoVP/30E4GBgXz++efcdtttvP766/zf//0fL7/8Mh07duS+++7j4YcfvuZrEBEpTgruREQkV6tXr2bdunXGqpO//vort912W46gbOHChTz66KPMnz+f1atX8+677xITE8OpU6do2bJljnQffPDBK+brcDiMXqHLOYO0y1mtVjp06MDWrVvx8fFh9uzZRlAKWUFajRo1cjzDzrmvTZs2nD17FiDXYM7hcLBz506+/vprIGt4aVBQEM8//zzfffddjtUcL+fsVfTz8yMhIQGHw8Hzzz/P3Llz6dy5c64Bq5ubW67DKzt06HDVRyE4vfHGG0ZPJWQtJvLTTz+5HPPWW2+xfPlyxowZw9KlS4G/guDLg0tn4P7f//6XtLQ0AMqVK0dERAT//ve/jV7Pu+66i9WrV+coz+bNm3N9ZmFGRgZDhgxh0aJFrFixgjJlypCamkpcXByNGzemf//+3HfffTRr1ozvv/+e4cOH89Zbb1G3bl2sVivt2rWjbt26TJkyJdceUqdRo0axatUqmjdvzn/+8x9at25N//79+cc//sHSpUvZv38/n376KYsWLWLdunU5HkchIlLSKbgTEZFcbdu2jY8++ghvb28j2Dp//ryxkuP58+fx8PAgPj4ed3d3Hn30UV5//XWOHj1qzLdq3br1Ned79uxZbrvttjz35zYs08PDg9GjR/PCCy8we/bsHPk++uij3HXXXdx9990cOHCA//znP8Y+Ly8vhg8fzm+//caTTz5pDAd0lmX48OGsXr2a6OhoIzh89tlnmTlzJm5ubuzdu5d33nkn1zl3q1atYvXq1cYKlc7nsyUlJbFjxw6aN2/O1KlT87XK4/UYOHCgy/zFtLS0HMFdy5YtadWqFRERERw4cIDGjRsbgVv2uXHZTZw4EZPJhMPhYMaMGaxfv55z584xY8YMIGvYZW5BVl7DHXv37s3ixYuxWCy8+OKLnD17luTkZOrWrcvhw4dp2rSpS3kh6/6sU6cOAwYMYPv27Zw9e5Z9+/bleBSCk5ubG9OnTyctLc2YVxcREUFCQgIvvvgigwcPplevXnz++ed89tlnHDt2jJCQkFzTEhEpqRTciYhIrt566y3eeust0tLSqF27Ns2bNzd6di5cuEBgYCCPPvqoEQA8+eSTvPnmm0yaNImoqCjKly9P8+bNrznfKlWq5DpfC+CZZ55xmRuWXadOnTh06BBpaWmkp6fj7u7u0vPl6enJqVOncu39Gzx4sLEwSXYVK1bk+PHjWCwWJkyYwBNPPEFQUBCVK1c20r7zzju58847SUpKIj093VjiH7KCuNWrV/PKK6+4BDtly5Zl/vz5BAQEGHP9ilP//v05dOgQf/75J40bNzZ67nKb+/j999+zZcsWunbtyooVK3jnnXf49NNPmTlzpvGg9x07dlzxsRCXu++++9i1axe33347ISEh1KxZk6pVq+Z4/h5kPaLDz8+PL774goiICL799ls6dOjA4sWLXXopcxMcHGz8fOTIETp27MjBgwf58ccfmThxIhkZGVgsFiwWC40aNcp3+UVESgoFdyIickVTp04lNjaWJ5980phv9eGHH5Kamsobb7xhHBcUFMQTTzzB9OnTARg0aFCuwyCvxm63uzwfLbuLFy9e8Vx3d3cqV65MQkJCnsd8+umnfPrpp7nuCw8PzzHkcc6cOVSqVAmLxWL0aF0uMjKSVq1a8be//c3l4eFX4gyEoqOj83V8YerTpw9hYWFGAJqYmAjk7CWNi4tj4MCBNGrUiEceeYQVK1ZgMpmYPn06NpvNGJ57xx13sGDBghz57Ny5k7///e85tg8ePDjPoaZ2u90l6Pby8qJXr17MmjULyJqDuHDhwjx7GXPjcDjo1q0bJ0+e5P777+exxx5jwYIFufYKi4jcTBTciYjIFZ08eZIaNWrw1FNP8fLLL3PvvfeyatUqHn74YUJDQ12Ofe2115g7dy7ANa3emN31DMt0Sk9P54UXXsDDwwN3d3eXB4unpaUxZswY7rnnHh599FHjHIfDQXp6OlarlbvvvjtHmvlZGCQ0NJRGjRrx9ddf8/7771O+fPmrnlOSeHl5uSyecuHCBcC1rq1WK0888QRxcXF8+eWXHD9+3Njn6+vr8qB5Ly8vlwfXO+XVI+vsBU1OTubgwYPs3buXXbt2sWPHDho0aOASKP7yyy+sW7cOyBo2OnfuXCOwS05OdplrCeTaM2q325kwYQIREREsXryYZcuWMWDAALp06cKCBQtcFtVxcg6pFREpyRTciYjIFX300Ud89NFHHDp0iOnTpzNx4kQAli5dStu2bRk7diz33Xcf6enp/Pvf/zbO+9e//sXXX3+d5zPa8nK9wzIha+jlBx98kOu+hIQExowZQ7NmzRgxYsQ1lSk/+vfvzyuvvMKGDRsICwvL93kOh8Pl/4LgTCuv1TKvlteJEycA1+AuIiKC9evX87e//Y2uXbvm2UPp7N29kuyB0vHjx+nVqxcnTpwgLi7O2F6/fn1atGhBjx49gKyVQcPDwxkzZgyenp707t2bb7/9liFDhhi9eE8//TQVKlRg7NixVK5c2TjvchaLhUcffZRHH32Ujz/+mJUrVzJr1iz8/PxyDezySkdEpKRRcCciIleVmZnJ5s2b+eKLL6hduzbffvstu3fvZvLkyZjNZg4cOMBTTz3Fvn37mDhxIps3b2b+/PmkpqYye/bsXBfSsNvt2O12oqOjmTFjBp6enpw4cYLk5OQ8H0IdGRlJeno6Y8eOJSMjgw4dOlzxAeMFzdkLlFtw1LdvX3r27OnSa+fsAbsS50PU09PTWbp0KStWrMDLy4sTJ05gtVqN4YoHDhwAsoIsZ/CbmZlJRkYGqampvPrqq0ZPqnNeYV6rZV4pUDl48CDz58/HZDK5PHDd+XDwf/7zny51cXnPmM1mY8+ePVcM8LIHd8HBwVSpUoWYmBj69+9Pp06daNu2LZUqVQIgJSWFWbNmMXbsWI4ePUrz5s355ptvqF27Njabjc8//xyARx55hOXLl1OmTBmXBXNsNhsXL17M855yci7UcvlxkZGRRjoiIiWdgjsREcmVw+Fg7969/PDDD3z55ZecOHGCf/zjH0yYMAE/Pz+aN2/OQw89xPjx4/n4448pU6YM33//PT169GDAgAE8/PDDLF68mCZNmvD+++/Tt29fl/SdH5ZPnjzJBx98gK+vL2azGV9fX2NFztyUK1eOiRMnkp6eTpkyZWjTpg2JiYkMGzYMb2/vPHsKnUHUli1b8pzf5XxuXP369Rk0aFCO/c6FRnL7oO/j44OPjw+ZmZncf//9xMXFcfDgQQICAq640IezXFarlV9//ZUvvvjCeGZeuXLl+PLLL41jAwIC2L9/P/v37weygiSbzUZaWhqPP/64Edw55wbmtVqmM0+nTz75hHfffZekpCQuXboEZD3X8PKg/PXXXzd+dj4Lz/l/9uu52py7y8+ZM2cOfn5+OQLCjIwMOnbsyI4dO/D09OTtt99m5MiRxuM55s2bR48ePfj888+NIO9f//qXy9BMu91OQkKCy/zQ66HgTkRuBgruREQkV5GRkXTs2JH09HR69+7NiBEjcsyjGjVqFF9++SV9+/ZlwoQJVK1aFciaC7VixQrefPNNpk6davTCZJecnAzAbbfdludCJfmVmprKF198gY+PD2azOc9eo4CAAE6ePOkSMGXnDO46dOiQa3DnLGdKSkqeZXFzc+POO+9k1qxZdOzYkX/961+5Pq/OKXuQ9Oabb/Lmm2/meWx+hYaG0rNnzxxDDNu3bw9kDX3Nrnfv3rz00ks4HA4aNGhAWFjYVYMhZ6Cb/eHikFVHFStWvOKcu8uDu7yeTefu7s6CBQt45513GDVqFLVq1XLZ7+npydKlS5kwYQLTp0/nkUce4bXXXnM5xmazERwcTFRU1BWvJy/PPPMMX331lYI7EbkpmBwFOchfRERKlb1791KrVq08FzGx2Wz89ttv3H777XmmERMTQ/Xq1QuriCVSeno6Hh4e1/Q4gOK2e/duQkJCXB7lcCXx8fGcOXOGmjVrXvURBMXp8OHDOByOQnuWoIhISaLgTkREREREpBTIe5yIiIiIiIiI3DQU3ImIiIiIiJQCWlClhMrMzCQmJoayZcveVHM2RERERESkYDkcDi5dukT16tWvuEiXgrsSKiYmJs+Hz4qIiIiIyK3n5MmTLo+4uZyCuxKqbNmyQNYvsKBWIcvIyGDVqlV07twZd3f3AklT8kd1X3xU98VHdV98VPfFR3VfvFT/xUd1X7gSExMJCgoyYoS8KLgroZxDMcuVK1egwZ2Pjw/lypXTm66Iqe6Lj+q++Kjui4/qvvio7ouX6r/4qO6LxtWma2lBFRERERERkVJAwZ2IiIiIiEgpoOBORERERESkFFBwJyIiIiIiUgoouBMRERERESkFFNyJiIiIiIiUAgruRERERERESgE9505ECtSphFQuJFuLuxgGm83GySQ4EJOIxVJwTV55Xw9q+HsXWHoiIiIiN0rBnYgUmFMJqXScsJ50W2ZxF+UyFiZEbi+w1EyWRLwr7GRB38HcXjWowNIVERERuREalikiBeZCsrUEBnYFz2S5hDlgDccvxBZ3UUREREQMCu5ERERERERKAQV3IiIiIiIipYCCO5FClpKSwi+//EJ6enpxF0XkmqWkpLBnzx5SUlKKuygiIiJyFQru/uf48eOsXbvWeJ2cnIzdbnc5xuFwkJ6enueH9OzHx8XFcfbs2cIp7E3uxIkTlC1bFrPZTNmyZTlx4kRxF6lQHTx4kJYtWxIdHV3cRRG5ZgcPHqR58+YcPHiwuItSqHbu3InJZDL+7dy5s7iLJCIics1uqtUyHQ4HSUlJnD9/njNnznDo0CF27NiBh4cHEydONI4bPXo0X375JSEhIbmms337dn777Tdq165tbDtw4ABPPPEE69evp3nz5lSrVg2z2YybmxuXLl3C09MTDw8PMjIyGDhwIOPGjXNJMyMjg9tvv53PPvuMtm3bMnLkSHx8fPjPf/5TKHVxs3J3d8dmsxmvk5KSCA4OxmKxkJGRUYwlE5FblclkyrGtZcuWQNbfHRERkZtFie+5+/vf/07lypUJCQmhQYMGtGnThhYtWvDKK6+wa9cuqlSpQt26dbFa/3qulqenJ5mZmdhstlz/AXh7uz6fqlu3brz55pu88MILACQmJnLhwgXOnTtH586dmTJlCufOnSMxMTFHYAcwb948UlJSjA8Eo0aN4osvvmDv3r2FVDM3n+yBXUBAANOnTycgIADIehaZu7t7cRZPRG5Blwd2zz///BX3i4iIlGQlvufOZrPx+uuv8/LLL+Ph4QHAM888Q6tWrXjxxRcByMzMdOn1sdvtdO7cmeeeey7XNB977DGX3iOn4cOH06dPHwDee+89nnvuOapWrepyzNChQ2nXrh2PPPKIsS0xMZFRo0bx3nvv4enpCUBwcDCDBg3iiSeeYOPGjVSpUuUGauHmd+LECaPO4+PjqVixIpD1Qers2bNUqlQJm83GiRMnqFmzZnEWVURuEdmHXh4+fJi6desCMH36dI4cOUK9evWM4+6+++5iKaOIiMi1KPHBncPhYN26dfzrX//Cw8MDk8lESkoK3377LSNGjACygrl69eqxZ88eAO677z5sNhsrV67MNc3+/fvj6+trvE5LS8PT0xM3NzdjKOf+/fv58MMPXXrpEhMTmTp1KmFhYS7pDRo0iKCgIJ5++mmX7W+99RZbtmyhXbt2rFixglq1auV5nZfP5UtMTASyhnsW1HBFZzrFMfyxcePGAFSoUAE/Pz+XMvj5+VGhQgXOnz9P48aNOX/+fJGXrzAlpWb9Xs+kwL4T57FYSvzb7rodjU8u7iIUqaizSew9fq64i1Go/ohNALLu42ttO4qzzckP50gLyPpCLns5g4ODXY7LPjrkZlDS6740U90XL9V/8VHdF6781muJ/5SZkZHBI488QkREhLHt8p47p9mzZxMeHo6fnx/lypXLczhNZmYmDz/8MJ6enqxbt45OnTqxdetWMjMz+e9//0tYWBiDBg2iW7dujB492jjv66+/plWrVrRu3drYNmXKFL7//ns2b96M3W4nM9P1Ac6LFi3iiSeeIDQ0lHfffZdBgwblWqaxY8cyZsyYHNtXrVqFj4/PVevpWqxevbpA08uP5OSsD/29e/dm+fLlOfb36NGDmTNnkpycnOv+m9nWyKMAfH3EzDczfi7m0khBmvzTESampRZ3MQpV+ukjACxbt40LZ+OuK43iaHOuxQMPPJBru9O2bVs2btwIcNO2SyW97ksz1X3xUv0XH9V94cjvqtUmRwmfLf7www/Tq1cv7HY77777LgBnz57F09OTsmXLAnD77bfzww8/GOesXr2aAwcOXDHdXr16ERgYCGT1DppMJtq3b8/w4cPp0qULAJ9//jlPPPEETz75JL169aJixYpUqVKF5s2b4+bmxvbt22nfvj1Tp07NMU8ju3HjxpGYmIiXlxejRo3K9Zjceu6CgoI4e/Ys5cqVy0dNXV1GRgarV6+mU6dORT6/rUKFCiQlJVGhQgVOnz6dY3/VqlU5f/48ZcqUKXU9d9t2/ky71vcy/N2JPP7kU6W+527IwsjiLkahc/M6hW+tKbxQ+yPa1LyjuItTqH7fv4++D9/Phs1buefuu67p3OJsc/LDOdQfyLVn7mr7S7KSXvelmeq+eKn+i4/qvnAlJiZSsWJFLl68eMXYoMR/ykxISMDX15czZ87Qvn17vvzyS44cOYKnpydBQUEsXLiQjz76yOWchQsXYrVa6d69OwDjx4+nY8eO3HVX1geTV199lXvuuccI7rL38Lm5ufHJJ58waNAgvL29GTp0KMnJyaxduxYPDw8yMzNJT0/nt99+o1WrVvz++++EhITQt29fDh48SIcOHTh37q9hWm3btiU4ONiYy5cXT09PY75edu7u7gX+BimMNK/mwIEDBAcHc/78eS5evGjMuYOsYN0Z0B04cKDUNQhlvLN+r1V84I6aFUrd9WVXmgPX3IRULMOdwQHFXYxClXnOH8i6j6/33i2ONic/duzYYQzNPH78uDHnDuDIkSMux5XE8udHSa37W4Hqvnip/ouP6r5w5LdOS/wnsbi4OKpXr058fLyxbdq0adjtduMxA5d3Prq5ubF27Vp+//13IGui/Pnz51mzZg2QtaCHm1veC4WGhYXx0ksvGa+dvYfPPPNMjmOd8+h8fHzYv38/oaGhLh9wY2JiCAoKusarLn1q1qyJxWLBZrNRqVIlKlSowDvvvMNbb71lBHYWi0WLqYhIkcm+SIpz8ZR+/foxe/bsPI8TEREpyUp0cJeSksKff/5JSEiIy6pmhw4dolevXgCUK1cux4qW9evXx2azGStUXrx4kTvuuMP4VrZatWo5HoXgtGXLFvr168e+ffuoXr36NZV37ty5xpBOyAo6Y2NjjR7CW11GRobxOITz58/zz3/+09in59yJSHFwDst3ujywK+EzF0RERFyU6ODuxx9/pEqVKlSvXp2//e1vpKWlsXfvXjZs2MC7777Lbbfdxptvvsl3331nnGO32/n666+NlTUhq/dv7969REVFAVmPV/jpp59o0qSJcZ7VaiU2NpZp06axaNGiaw7sZsyYwa5du1w+GMTHx2Oz2a45rdIsIyODEydO0LhxY1JSUvDx8eHAgQPqsRORYuNwONi5c6fL6pk7duxQj52IiNx0SmxwZ7fbGTt2LH369MFkMuHt7c2CBQt45513mDlzJs2aNSM8PJzXX3+djz76iOnTp9O0aVPMZjMRERFUqVLFGB7pHFL58MMPA1mPPrj829hz587h7e3Nhg0bCA0NzVGWvL69TU1N5YMPPmDy5MlERERQuXJlMjIy+PXXX1myZAl169bVuOPL1KxZk0uXLhV3MUREDHfffbd66URE5KZXYoO7c+fOcddddzF06FB++uknevbsSceOHdmwYQMNGzYEsubCdenShfDwcEaOHMns2bO5//77qVChAmaz2Ujrzz//5Pjx43z44YfGtpSUFEJDQ/nss8+ArKGae/bsyXUuXmpqKmlpaTm2Z2Zm8uijjxIfH8/69etp2rQpkDXh8ZVXXiEjI4NPPvmkIKtFbkINGzZkx44dRs+xyM2kYcOG7N6922h3RUREpOQqscFd5cqV+fjjj4GswOvw4cNUqlQpx3EWi4U33niDESNGYDKZ2Ldv33XnmdciK+vXr8/z+G+++YZy5crlWCVwy5Yt110OKV18fHxo2rQpsbGxxV0UkWvm4+NDs2bNirsYIiIikg8lNri7XG6BXXZ5PbC8sFWoUKFY8hUREREREcku7+cBiIiIiIiIyE1DwZ2IFJjyvh54Wkp/s+KwlcV+7gGCy1cr7qKIiIiIGG6aYZkiUvLV8Pdm7dD2XEi2FndRDDabjc2bN9O6descc2NvRHnfMGr45/68TBEREZHioOBORApUDX/vEhX0ZGRkcLwMNK5eTo8lERERkVKt9I+fEhERERERuQUouBMRERERESkFFNyJiIiIiIiUAgruRERERERESgEFdyIiIiIiIqWAgjsREREREZFSQMGdiIiIiIhIKaDgTkREREREpBRQcCciIiIiIlIKKLgTEREREREpBRTciYiIiIiIlAIK7kREREREREoBBXciIiIiIiKlgII7ERERERGRUkDBnYiIiIiISCmg4E5ERERERKQUUHAnIiIiIiJSCliKuwAicnM7lZDKhWRrcRcjTzabjZNJcCAmEYulaJu88r4e1PD3LtI8RURE5Nal4E5ErtuphFQ6TlhPui2zyPM2WRJx999BRkJLHLZyVznawoTI7UVSruw8LW6sHdpeAZ6IiIgUCQ3LFJHrdiHZWiyBHYDJcgnPSj9hslwqlvzzI92WWaJ7NUVERKR0UXAnIiIiIiJSCii4ExERERERKQUU3IkUk5SUFPbs2UNKSkpxF0XklqL3noiIlFYK7rL5/fffmTBhApmZmaSkpJCRkUFmput8IofDgc1m04cCuWEHDx6kefPmHDx4sLiLInJLyf7es9vtrF+/nvnz5/PTTz/x008/8cUXX9C6dWtCQ0N57LHHSEpKuq584uPjqVWrFmXKlKFWrVrEx8cX8JXcmOzXvn79eux2e3EXSUREbpBWy8zmzz//5L333mP16tVER0cTHR2N2WzmwoULBAQEkJiYiLe3N25ubqSlpZGUlITZbOarr75ixYoVLFiwAMj6g2k2m/nyyy9ZuXKlsV1EREqOtWvX0rNnT6KiovI8Zv/+/ZQtW5YWLVqwc+fOfKft7+/PxYsXjdfJyclUrlwZPz8/EhISbqDUBWPRokUMGTLE5dpDQkKYOHEiPXr0KL6CiYjIDVHPXTYPPfQQP//8My+88AIHDhzg4sWLnD9/Hk9PT86ePUvHjh1ZsmQJFy5cIDU1lU2bNvHuu+/i6emJl5cXY8aM4ZNPPqFBgwbceeedvPvuu6xZs4a77rqLRo0a8cUXXxT3JYqIyP8MHz6c0NBQxo4di8lkokyZMsa+pk2b0rZtWwBMJhO7du3i7rvvzle62QO7xo0bExERQePGjQG4ePEi/v7+BXsh12jRokX06tWL0NBQtm3bxqVLl9i2bRuhoaH06tWLRYsWFWv5RETk+qnnLhubzUbdunWpW7duvo6/88476devH/3798dqtfLZZ5+xefNmHnnkEVJTU1m+fDkbN25k3LhxWK1WbrvttkK+AhERuRrn8MM2bdrw/fffU79+fbp06cKKFSswmUx06dKFgwcPsmPHDnr27Mmvv/7KiRMn2LVrF0lJSS5B4OXi4+ONwO7ixYuUK5f1DMaHHnqIxMRE/Pz8uHjxIvHx8VSqVKnwL/YydrudIUOG8PDDD7N48WLc3LK+423VqhWLFy8mLCyMoUOH0r17d8xmc5GXT0REboyCu//5888/adeuHSNHjqR///7Mnz+fAQMGUKFCBdLT0wkJCeHMmTPs3buXjIwM/u///o/x48fz1VdfsX//fi5dusQ777xD7dq1+eSTT9ixYwcnTpwgOjqasWPHkpqayqxZs/Dx8ck1//T0dNLT043XiYmJAGRkZJCRkVEg1+hMp6DSk/zLre6TUrN+33/EJuB2/FyxlOtGHY1PLu4ilHh/xF7EZrMVdzGKhc1m42QS7DtxHoul5Py5+WHNJgD69H2aDRs2EBUVRWBgIABPPfUUL7zwAm3btmXDhg0MGzaMtm3b0rFjR9auXUvfvn35/vvv80y7RYsWADRq1Ahvb2+X97y3tze33XYbv//+Oy1atODw4cOFdo15tffO6509ezZ2uz3HPDvn9a5bt4527doVWvlKM/2tLV6q/+Kjui9c+a3XkvPXtpgFBwfzyiuvMGjQINLS0qhWrRrdunXj66+/plKlSkRFRdGlSxdGjBjB9u3buXTpEvPnz+fll1/GarVit9vZvHkzGRkZnDlzhgYNGmC1Wrl48SL169fHZrMxduxYRo0ahYeHR478x44dy5gxY3JsX7VqVZ4B4fVavXp1gaYn+Ze97rdGHgVg8HeReG5KLa4iSSEbsjCyuItQzCwQ+XNxF8JFwta9AByKPsuRQ1kLGh0/fhyA5s2bc+rUKQBWrFhhBGvVq1cH4Ndff2X58uV5pn3mzBkAwsLCcj3u0Ucf5ffff+fMmTNXTKegXN7eb9y4EYDo6GjOncv5pVJqalZbtGLFCpKT9eXNjdDf2uKl+i8+qvvCkd/FHBXc/Y/ZbGbYsGE8+OCDNGzYkMWLFwOwfft26tWrB2TNu0hLSzOOf/LJJ+nduzf16tWjbdu2zJo1i0OHDrF3714sFotxHmR9g52RkWEMgbncG2+8weDBg43XiYmJBAUF0blzZ2NYz43KyMhg9erVdOrUCXd39wJJU/Int7ovX/FnxgOTHg/ltiZ3FG8Br9PR+GQFL1cxsVcodSr5FncxioXNZmP79u20atWqRPXcfe/3B+9tmk39wIrUq9OCSZMmERwczMmTJ9m9ezcvvPACAF27dsXT0xOAmJgYAG6//Xa6deuWZ9pVqlTh+PHjLF68mNGjR+fY/8YbbxjHXSmdG5VXe+/r68ukSZMIDAykZcuWOc7bvn07kHXt6rm7PvpbW7xU/8VHdV+4nKP6rqbk/LUtISpVqoS7uzsmkwmHw8HIkSN59tlnAWjdujVPPPEEJpOJ1157DYD//ve/REVF0aRJE5o1a8ZPP/3E2rVr+emnn6hQoYKR7u7du7HZbHnOYfD09DQ+RGTn7u5e4G+QwkhT8id73Zfxzvp9N6jmz53BAcVZrOtWkj6wl1QNqvnRpIZfcRejWGRkZHBqP9xRs0KJanMyHmjDeyNhwbw5rFmzhpCQEMqWLQvA3LlzOXfuHLVq1aJdu3b07NmT4OBg1q1bB8C8efOueC27du2icuXK/Pbbb6Smprp8OZeYmMjvv/9uHFcUdXJ5e9+hQwdCQkIYP368y5w7gMzMTMLDw6lVqxYdOnTQnLsbpL+1xUv1X3xU94Ujv3Wq1TIv079/fwYPHozJZMJkMjF69GhefPFFAN58800uXrzIiBEjgKx5cm+//TZPP/00FSpUoGfPngwZMgQvLy/at2/Pc889Z/xzd3fXH0oRkRLA2RZv2rSJnj178sILL7By5UrKlCmDw+FgxYoV+Pn5cf/997N06VJOnDiBw+GgRYsWV1xMBbK+IPTzywrm/fz8aNSoEf/9739p1KiRy/biWEwFsq594sSJREREEBYW5rJaZlhYGBEREUyYMEF/r0REblL62j2bQ4cO8eOPP7J7925+//13li1bxs8/55wrkpCQwEsvvcSnn35K06ZN6datGytXrmTUqFEkJyfz5ptvUqVKFZdVN/MajikiIsVj/PjxTJs2jaVLlwK4PKx87969xs/OwC6/z7lLSEgwHofw+++/uzw3riQ8565Hjx4sXLiQIUOGcO+99xrba9WqxcKFC/WcOxGRm5iCu2yGDx9Or169aNKkCb/99hsPPfRQrg8gHzduHMnJycZiKs75ec7nJDkcDr755htNKBURKcE6duzIoEGD2LRpE7GxsVSuXBmAEydOMGvWLC5evEjdunWZPXv2VXvsLpeQkEB8fDx333238diDnTt3FluP3eV69OhB9+7djWuvVq0abdq0UY+diMhNTsHd/yxbtowffviBAwcOAFkLASxatCjXh82mp6fz2muv4ebmhpeXFw6Hg8zMTGO/3W7nnXfe4emnnwYgOTmZihUrFsl1iIhI/pnNZtq3b59ju3Ou9Y2oVKkSx44du+F0Ckte1y4iIjcvjRX8ny5dujB37lzjQeM2m40ePXqQkJCQ49/bb7+N1Wo1zk1NTXV5Rl32n8+dO0e1atXo0KFD0V2M3BQaNmzI7t27adiwYXEXReSWoveeiIiUVuq5+x/now2c/va3v/G3v/0t12OdC6pkP7Zv377G65kzZxo/BwQEEBcXh5eXVwGXWG52Pj4+NGvWrLiLIXLL0XtPRERKKwV3BcBisVxxSXgFdiIiIiIiUtg0LFNERERERKQUUHAnItetvK8HnpbiaUYctrKkx9+Pw1a2WPLPD0+LG+V9PYq7GCIiInKL0LBMEbluNfy9WTu0PReSrVc/uFB0u+oRNpuNzZs307p16ysOny4M5X09qOHvXaR5ioiIyK1LwZ2I3JAa/t4lOoDJyMjgeBloXL0c7u7uxV0cERERkUKjYZkiIiIiIiKlgII7ERERERGRUkDBnYiIiIiISCmg4E5ERERERKQUUHAnIiIiIiJSCii4ExERERERKQUU3ImIiIiIiJQCCu5ERERERERKAQV3IiIiIiIipYCCOxERERERkVJAwZ2IiIiIiEgpoOBORERERESkFFBwJyIiIiIiUgoouBMRERERESkFFNyJiIiIiIiUAgruRERERERESgEFdyIiIiIiIqWApbgLICK3jlMJqVxIthZpnjabjZNJcCAmEYulYJq88r4e1PD3LpC0RERERAqKgjsRKRKnElLpOGE96bbMG07LZEnE3X8HGQktcdjK5eMMCxMit99wvk6eFjfWDm2vAE9ERERKFA3LFJEicSHZWiCBHYDJcgnPSj9hslwqkPSuVbots8h7IEVERESuRsGdiIiIiIhIKaDgTkREREREpBRQcCdSxFJSUtizZw8pKSnFXRSRQqF7XEREpHjccguq7NixgzvvvBNPT09jW3p6Omaz2VhJLzMzE6vViqenJyaTibNnz9KsWTPWrVtHnTp18p1XSkoKnp6emM3mAr8OuXkdPHiQ5s2bs3v3bpo1a1bcxREpcM57fOvWrURGRpKYmEj16tUBiIuLo0KFCixZsoTDhw+TmppKaGgotWvXBuDEiRMEBgZy7Ngxjh07Rs2aNYmNjeXEiRMEBwdz7733cuLECSIjI/H29qZevXo8+uijXLhwgYCAACIjI4mKiiIkJITQ0FDOnTtH5cqVjbydxxw5coTTp09TrVo16tatS2hoKGfPnnU51sfHhw8++IDo6Ghq1KjBbbfdxqlTp6hXrx7h4eF4eHiwadMmYmNjqVatGm3atMFsNmO323Pdnpu8jrVarXz88cccPXqUOnXqMHDgQDw8PK56nnP78ePH2bhxIwkJCQQHBxv7U1NTGTZsGIcPHzauw9u79CwMlJ+6z+0YwNiW/R642u9PCsaN3u+X/y5FbmWlMrg7fvy4EbxlZGRQpUoVo5F488036dmzJwMGDDCO/9e//sW8efM4d+4cvr6+2Gw2vL292bVrF0FBQUyYMIHu3buzfft2Dh8+TJcuXXLkee+99zJ48GB69eplbGvQoAHffvst99xzTyFfsYhIydOzZ09iY2OvetyWLVvylV5kZCQREREu29asWcMnn3xyXeW7FidPnmT79qwVV1etWsW0adPw9vYmNTXVOCYkJITHH3+c7777jqioKJftEydOpEePHi5pLlq0iCFDhuQ49o477mDZsmXYbDZj+7Bhwxg0aBDjx4/P87zc8v7888+N/ZUqVWLXrl3GPud1dO/encWLF99A7ZQMedVL9rrP7ZhKlSphMpmIi4vLNd28fn9SMIYPH87kyZML5H4PCQnhgw8+cPkCX+RWUyqHZT711FM88MADhIaG0rdvX4YMGUJgYCAhISHs3r2bIUOGEBISQs2aNalatSrh4eGcOnWKVq1aMXfuXAYNGsTp06cJCgoiMjKSNWvWEB4eTv369fn73/9uNCSZmZmkp6cD4O7ujq+vL1ar1djm7e2Nr68vdru9uKpCRKTIrV27FoC6devSr18/TCYTrVu3pnz58gCYTCbj2EqVKhk/O7ebTCaXY3KTW2+Tu7s7wcHBAAQHB1OmTBkAatSoQY0aNYxjnBo1amT87By5UaNGDby8vFzSvJyPjw8AqamptGnThkuXLrFt2zYqVqxIeHg4FStWZNu2bcb20NBQevXqxaJFi4w0Fi1aRK9evQgNDXU51mw2s2TJEnx9fZkxYwaxsbHMmDGDgIAAwsPDCQsLy/U8Z97OHqYHH3yQgQMH0qVLF0wmEwkJCezatQuLxcKIESM4cuQII0aMwMPDgyVLlhAWFnbF+i7p8qrP7HWf2zFjx44lPj6euLg4nnrqKeNebd26NQBjx47N9fcnBWP48OGEh4cTEBBwXfd7bu+1Pn36sG3btuK+NJFiY3I4HI7iLkRhGDt2LGfPnmXixIlYrVYcDgerV69m5syZ/Pe//8VkMuFwOEhPTzf+kLdv354RI0awfft2Ro8ezblz57jjjjuoVasW/v7+HD9+nCNHjnD77bezbds2Dhw4QKdOnfDw8ODMmTP4+flhsVh44oknmDRpEg0bNmTOnDk8++yzzJ07l9tvvz3f5U9MTMTPz4+LFy9Srlx+nuN1dRkZGSxfvpxu3brl+oFFCk/2uo+MjLwlh2XuP3WRh6dsLpC03LxO4VtrCsnHXiYzrUaBpHmtIl5uTZMafsWSd0lmt9upWbMmMTExbN68mR49etCiRQu++eYbI9gCqFy5MnfddRfLly+nYsWKXLx4kYyMDABjuBVkBXpubm4uX5I52+8HH3yQPXv2EB8fb+wLDg4mLS0Nb29v7HY7Z86cITMzE7vdjsViISMjw8h71apVPPjgg+zcuZP4+Hg8PDywWv96xEWNGjU4deoUJpOJ4OBgfv31V6M97tSpExs2bMBqtZKSkoKHhwd169YlNTUVb29vjhw5YgRamZmZhIWFsX//fg4fPgxgDAVdvHgxbm5Z37NarVZ8fHwwm83UqFGDw4cPG2nYbDZq1KhBXFwcDz30ED/88INxnt1uN/I+e/YsXbt2ZeHChaxcuZIuXbrQo0cPli9fDmT1bGQvm9VqpWzZssZ13IxDNJ3Xf3l9wl91HxkZCeByjPO8Jk2a4HA4+PHHH+nSpQtLliwBMH5nf/zxBz179jR+f1cboqm/tfljtVrx9fUlICCA6Oho4wsWyP/9ntt77dFHH+Xnn38mKirK5YsaKXy69wtXfmODUjksE2D16tUMHDgQAA8PD5KSknjppZf48MMPsVqt9O7dm6+++gp/f39mzpzJsGHDsFqtvPjii6SkpDB27Fh27drFP/7xD/z9/enUqRPlypWjYsWK/Pbbb5hMJpo0aWIMOXIGhpcP2fTy8uJvf/sb3bt355dffsHf3z/X8qanpxs9fpD1C4SsN4rzA8+NcqZTUOlJ/mWv+6TUrN/zH7EJuB0/V5zFKlJH45OLuwgF6o/Yiy7DiCTLz9s2ExMTA8COXbuJi4tj6NChDB06FIBmzZqxZ88ennrqKeN90a9fP9auXcu+ffsIDAwkOjoagLvvvpudO3dit9uN7XfeeScVKlRg7dq1JCcn07ZtW77//nvq16/PoUOHOH78OJ988okx9H7YsGGEh4cD0Lp1a9atW8dTTz1FSEgIy5cvp3PnztSrV48PP/yQe++9l/Xr1wPQsmVLduzYAWSNBpkzZw47duwwvpiJjY3llVdeYcKECQwePJiePXsSFRVl5L1u3TratWtn1MuwYcNo27Yt69atAyAqKorZs2djt9uNwHXKlCnY7XaGDBnC+PHjc6TRt29fPvzwQ2rXru1y3oYNG4iKimLQoEFMnjyZTp06GfvsdrsxLeGBBx5gzZo1LumaTCaX6/jPf/5TYPdCUXFe/+X16eSse8DlmOzn7dmzh2XLlrnUnfO8DRs2uPz+sv9OcqO/tfkzZcoUbDYbY8aMweFw5Kivq93veb3XhgwZQseOHVm/fj33339/kV7TrU73fuHKb72WyuDu6NGjbNy4kW+++QaAtLQ0+vXrR+/evXnssceArPlwTz75JMuWLcPDw4Pu3btz5MgRRo8ezebNm1mwYAFeXl4EBAQwc+ZMBgwYwIwZM/j888+NDwqXczgcHD58mHPnztGqVStj+7Bhw1i7di3jx4/n/fffz/XcsWPHMmbMmBzbV61aZQwBKiirV68u0PQk/1avXs3WyKMADP4uEs9NqVc5Q0qqIQsji7sIJVLyb3/Nn1u3dScAp0+fNuarOXuGkpOTjSHuKSkpLsPZnbp168bOnVlpOOfQpKenU61aNSBrfrUzcAkICDDOy/5tfUhIiPFzZmamkbezB+3w4cNGb51zP0DXrl2N4K5Zs2bMmTOHFStWUKdOHXbv3k1MTAy1atUCYPv27UY77cx7xYoVJCf/9YWGc27eihUrjG3R0dGcO/fXFzzO4azOMl+ehnP10T/++MPoiQPYuHGjcV3Oa3K286tXr+bo0aw2x1lvl6eb/Tqyp3uzcF7/5fXplH1eZPZjsp+X/X5w1kH231mLFi2Mn7PX3ZXob+2VOe93T0/PXO+7q93vV3uvrV692uVLcyk6uvcLR35XoC6Vwd3w4cMxmUy0aNGCkydPcuTIEVasWEGjRo1o2bIlkDVnIiYmhvfee89YATP7HwCApUuXsm7dOl599VXWrl3LK6+8QseOHRk6dCi33347KSkpbN68mQMHDvDbb7/Rs2dPatWqxUsvvUSrVq2w2WzGh4avvvqKsmXL5lnmN954g8GDBxuvExMTCQoKonPnzgU6LHP16tV06tRJ3eVFLHvdl69YmfHApMdDua3JHcVdtCJzND65VAVEE3uFUqeSb3EXo8T5eZuN55dmfQHW4d67ifhuLlWrVqVVq1bs3bvXaGd9fX2pX7++8QWWM3jL3g5n/0Dn/JDm6elpjJgIDg425vFl/1CflpZm/Jx9sQXnsC5fX18jgKpXrx7Hjh1z2Q+uQdiePXuArIBvxIgRAFSvXt04r1WrVnTt2pVJkyYZeXft2tWlN8EZ3Hbt2hWASZMmERgYaPxNAjhy5AjLly83ynx5Gs5exQYNGtCtWzdju6+vL5MmTcLX19e4pk6dOhltzpdffklkZKRRb5enO3LkSOM6sqd7s3Be/+X16eSse8DlmOzn1atXD8iqO2cdZP+dOe/Py+suN/pbmz/O+z09PT3X++5q93te77XNm7OG/3fq1Ek9d0VM937hco7qu5pSN+du3bp1PPvss3h5eXHw4EGqVq3KyZMn+c9//kPTpk1p2rQpPj4+vPXWW/Tt25caNWqwevVqvv32W2JiYvjPf/7DgAEDOHHiBLt27aJKlSrUr1+fWrVqGRPyJ0+eTLVq1di9ezdvvvkm3bp1o2XLljkesfDkk0/y1ltvcdttt13zdWjOXemiOXeac3er0Jw7zbkrappzd3PSnLvSR/d+4cpvbFDqVsts37498+bNc9lmMpnYtWsXiYmJPPPMM2zYsIGdO3diMpmoWLGi8eHhvffeo2XLlnz11VeUKVMGk8nEqFGjaNSoEfPnz2fo0KFs3ryZqlWrAtC8eXNWrlzJJ598whNPPEGDBg0ICgoyVuLcsmULXbt2JSgoiB9//LE4qkNEpEiZzWYGDRoEZI1I6Ny5M8uXL6dLly4uq2XGxcWxfPlyKlWqxNmzZ13mEmRmZhqrZTocjhxzqBwOB97e3vz4448ugZ3zw8SZM2dwOBxcuHABq9VKlSpVqF69OhkZGbi7uxt5169fn2XLlhEfH4/FYsFqtbqslnnq1Cnc3d1xOBxERUUZf0x9fHxYvXo1VquVNm3aYLPZ2LlzJxUrVuTMmTNUrFiRnTt3Giv4hYWFERERwYQJEzCbzZjNZiZOnEhERARhYWHGan+7d+8mJCQEq9XK+fPnmTVrFjExMUyfPp3AwEDi4uLo3r07y5cvdzkve94hISFERETQvXt3fvzxR8LCwlixYoUx3zs6OpqRI0dy6NAhXn/9dSOw6969+00Z2AF51mf2up84cWKOY1JSUnjhhReIiIhg2bJl9O7dm2XLltGuXTvatm3L0qVLef755+nZs6fL708KhoeHB4MGDeLMmTMEBgYyffr0a77fc3uvLV++nGeeeUa/K7lllbphmSaTifr16+fYfuHCBerWrYu7uzseHh6YzWbjW6DMzEw2bNjA8ePHeeONN4CsDwc//PADO3bsIC0tjXPnzrF06VL69OmTY4nu+Ph4fv75ZyBrWMvJkycZPXo0aWlpjBs3jvbt27vM5RARKc06duwIZA272rRpE/DXUCnICs6csgdnue3Py+XD6CHrW+Pjx48DGP9DVpCW/Rin3377zfjZuThO9mMvP97JOe/B29ubTZs2GUFfrVq1GDZsGN999x333nuvcXytWrVYuHChy3PSevTowcKFCxkyZEiOY7t3786yZcvo37+/sd1isTBs2DCX535dfp4zbyDHF4rly5enXr167Nq1i/HjxzN+/HhjX2l4zt2V6jN73ed2jPOh5c4vhrPfqyNHjsz19ycFw3kfTp48+brv98u3L1iwQM+5k1taqQvuIOuDwbFjx2jSpAnnzp0jPT2dw4cP07BhwzyPf/jhh/nyyy+NbQ0bNuTBBx+kT58+REdHExYWRkpKCnv37s1xfvahBHm52jObRERKm++//56ffvqJ4OBgqlevDkBcXBwVKlRgyZIlHD58mNTUVEJDQ6lduzYAJ06cIDAwkGPHjnHs2DFq1qxJbGwsJ06cIDg4mHvvvZcTJ04QGRmJt7c39erV49FHH+XChQsEBAQQGRlJVFQUISEhhIaGcu7cOePDe1xcnHHMkSNHOH36NNWqVTOG9J09e9blWB8fHz744AOio6OpUaMGt912G6dOnaJevXqEh4fj4eHBpk2biI2NpVq1arRp0waz2czYsWNz3X65Hj160L1791yPtVqtfPzxxxw9epQ6deowcOBAY/GYK53nzPv48eNs3LiRtm3bEhwcbOxPTU1l2LBhHD582LiOm7XH7nJXqperHQMY27LfA1f6/UnBGD9+PO+9994N3e/Zt2dmZt6UCwOJFJRSGdylp6dTq1Yt9u/fT5s2bfjoo4/o2bMnFovF+EbYOWdj1KhRuLu7s2TJEpo0aWKkcezYMRwOB5UrV+bw4cPGt7cHDx40VhwTEZG8mc1mQkNDc51/8eCDDxZKnp07dy6QY5y6d+9+xf3t27fPsc1sNue6PTd5Hevh4cFrr712zec5t2dkZODv75+j7r29vZk6dWq+ynYzyk/d53VMfn9nUvBu9H7PTiOl5FZXKoO7atWqsWHDBgBGjx7NyJEjjSV3rVYr6enptGnThg8++ICDBw/Sr18/unfv7tJz9/zzz3P27Fmee+451q5dS0REBOfOnaNv3760bduWTz/9lHfffZfZs2eTkpJiPEMnJSWFkJAQY9jOggULSEhI4KmnnsJqtRIdHY2fnxZhuJU1bNiQ3bt359mTLHKzc97jderUMVZoFBERkcJXKoM7s9lMlSpVgKy5H2vXrjWWiF66dClw9W+NZ8yYgc1m4+jRo0yZMsUYtnLgwAF++uknypcvz7hx45g4cWK+h1ympqZq5SbBx8fnllolU249zntcD7IVEREpWqUyuMvOZDIZgd21slgs/P3vf3fZVqFCBR5//HEAYzx4fpWWeQ0iIiIiIlLylLpHIYiIiIiIiNyKFNyJSJEo7+uBp6VgmhyHrSzp8ffjsJUtkPSulafFjfK+19ZzLyIiIlLYSv2wTBEpGWr4e7N2aHsuJFsLKMVu+TrKZrOxefNmWrduna/HluRHeV8PavhrmLWIiIiULAruRKTI1PD3LvKgKCMjg+NloHH1cjmW4xcREREpTTQsU0REREREpBRQcCciIiIiIlIKKLgTEREREREpBRTciYiIiIiIlAIK7kREREREREoBBXciIiIiIiKlgII7ERERERGRUkDBnYiIiIiISCmg4E5ERERERKQUUHAnIiIiIiJSCii4ExERERERKQUU3ImIiIiIiJQCCu5ERERERERKAQV3IiIiIiIipYCCOxERERERkVJAwZ2IiIiIiEgpoOBORERERESkFLAUdwFE5NZwKiGVC8nWIs/XZrNxMgkOxCRisRR+k1fe14Ma/t6Fno+IiIjI5RTciUihO5WQSscJ60m3ZRZ53iZLIu7+O5g4IwWHrVyh5+dpcWPt0PYK8ERERKTIaVimiBS6C8nWYgnsAEyWS3hW+gmT5VKR5JduyyyWHkoRERERBXciIiIiIiKlgII7ERERERGRUkDBXQG5cOFCrtscDkcxlEauV0pKCnv27CElJaW4iyIi2ei9KSIicnVaUKWA9OnTh8aNGzNp0iQga4W+ChUqsHbtWjp06FDMpbt+drudTZs2ERsbS7Vq1WjTpg1ms7nElKly5coAxMXFERAQQGRkJFFRUVSvXp2tW7dy/PhxateuTf/+/UlISMhxDUlJSfTr14+jR49Sp04dBg0aRLt27di9ezfNmjUrzssUkWwOHjxI8+bN2bBhA5MnT+bo0aMu720/Pz8+++wzjh07Rs2aNalWrRonTpygXr16hIeH4+3tnWfbcaW2zWq18vHHHxttxMCBA/Hw8Liha7mRdrUwynM9Sko5RETElYK7/1m/fr0RhFksFm677TbCw8OJjY3lww8/ZO/evcaxJpOJX375hTvvvBOAmJgYNm7cyNChQ6lRowbu7u7Gsf369cNisZCZmUm7du2YPXt2UV7WDVm0aBFDhgwhKirK2BYSEsLEiRPp0aNHiSnT1URGRrJkyRLjtfMaxo0bx65du1yOW7x4cQGWVkQKWrt27YyfL39vZ9/utGrVKqZNm0aLFi2Ij4/Ps+3IrW0bPnw4kydPxmazGduGDRvGoEGDGD9+/HWV/0ba1cIoz/UoKeUQEZGcNCwzm3LlynHhwgVOnDjByy+/TM+ePYmJibnqee+//z4PPfQQDzzwAMeOHePYsWNs3rwZgCNHjhAVFcWxY8eYNWtWYV9CgVm0aBG9evUiNDSUbdu2cenSJbZt20ZoaCi9evVi0aJFxVqmsWPHYjKZaN26NTVq1ACgTJkyeHv/tfy8M8guU6aMse22224jNDSUnj17smvXLkwmE/369WPfvn3069cPk8kEZAXlIlJyON+TJpOJdu3aYTKZCAwMdDnGy8vLOMapatWqWCwWdu3aRWpqKmPHjgWgdevWtG7dGpPJxNixY3O0bcOHDyc8PJyAgABmzJhBbGwsM2bMICAggPDwcIYPH37N13Aj7WphlOd6lJRyiIhI7kwOTQoDsnruwsLCSEhIMLaFhobSt29fvvnmmzx77n777TeaNm3K888/z9SpU1m0aBHvv/8+aWlp/Pbbb8bQvk6dOhkfKvIjMTERPz8/Ll68SLlyBfNsroyMDJYvX063bt1cehcvZ7fbqVu3LqGhoSxevBg3t7++A8jMzCQsLIz9+/dz+PDhIhuimb1M33//PfXr1yc0NJRvv/2WMmXKYDabqVy5MtHR0QAEBgZiNpuJjY0lMzOTc+fO4e/vj8Ph4NSpU0ZAmJSUhK+vr5HP1q1bue+++wC4dOmSS2B4I/Jb96XV/lMXeXjK5mLJ283rFL61ppB87GUy02oUSZ4RL7emSQ2/IsmrJCuo+z4pKYmyZcsCsHHjRv72t78RGhrKnDlz8PNzrWeTyUTNmjU5cOAAZcuWxeFwUK1aNU6fPo3D4SAoKIg777zT6KV3tmd//PEHPXv2ZP/+/Rw4cIBy5coREBBAdHQ0Fstfg1xsNhuBgYGcO3eO5OTkfA9FvJF21Wq14uvre03lKYw253rKcSu61dv74qb6Lz6q+8KV39hAwzKvwGKxYLXm/bwqq9XKM888Q/ny5Y1tCQkJ1K1blwULFhjbFixYwPLly6+YV3p6Ounp6cbrxMREIOuNkpGRcb2X4MKZztXS27BhA1FRUcyePRu73Y7dbnfZP2zYMNq2bcu6detchkgVpuxlyv7ztGnTsNvtDB48mPDwcAAefPBBfvzxR6Os4eHhzJgxgyeffJJ58+a5zKXbtm2byzXYHH994/9Ij95MnlEww2htNhsnk2DfifMuH4huFUfjk4u7CEXqj9iLLkPWblUFdd8Pev6vnvQ9e3813v9PP/00kDWs0TnMsW/fvsydO5dt27YZ7/nY2Fj69u3LvHnzOHnyJPPmzTPaNWd7tmHDBuPnwYMHY7PZGDNmDA6HI0eb+fbbbzNw4ECmTJnCK6+8kq9ruJF2dcqUKddcnvy299fiespxKyqMupf8U/0XH9V94cpvvd56nzLzafXq1Rw8eJAaNWoQGRmJv79/jmP27dvHpUuXeOmllzhz5gwAbm5uLFu2jLp16xrHJSUl0aVLlyvmN3bsWMaMGZNj+6pVq/Dx8bmxi7nM6tWrr7h/48aNAERHR3Pu3Lkc+1NTUwFYsWIFyclF86E9e5mc8+Sio6NZu3YtALVq1TKO7dChgxHcObevXbuW+++/n3nz5nH+/Hnj2MuvYWvkUePnLb/8Rtgn2wvwKiwQ+XMBpicl1ZCFkVc/6JZx4/d9zC+/GT+v2bQNyHr///rrrwD07NmTiRMnAtC8eXPmzp3LihUraN68OfPmzTO2O3/O3rZlb89atGgBwPbtWe97T0/PXL+Ycw7/XLt2rUtbfyU30q4627nrKc/V2vtrcSPluBUVZN3LtVP9Fx/VfeHI72rRCu6yuXjxIv7+/qSlpeHp6cnUqVMxm800aNDA5Q+ZM2Bo0aIFO3fu5LPPPnNJ56GHHsrRc7dy5cor5v3GG28wePBg43ViYiJBQUF07ty5QIdlrl69mk6dOl2xu9zX15dJkyYRGBhIy5Ytc+x3fvDp2rVrkfXcZS9TxYoVjZ87duzI8uXLOXbsmHHsunXrjJ+d2zt27Mju3bsBqFChghGMX34N5Sv+jHM5gPuaNmLygFYFUn6bzcb27dtp1arVLdtzdysFPBN7hVKnku/VDyzlCuq+H7SnEetXHwfggTb3EPHdXAIDA7n99ts5fvw433//vXGs833etWtXvvjiixzbAZe2LXt75unpCUCrVq3Yu3cv6enpdOvWLUd5Zs6cCWS1K7ntz82NtKtHjhxh+fLl11Se/Lb31+J6ynErKoy6l/xT/Rcf1X3hco7quxrNufuf9evX8+ijj/Lrr7/i7u5O9erVMZlMfPnll1ddLXPChAlERUUxdepUvvzyS1577TWXif4XL17k/vvv58svv8x3eTTnLu8yac7dzUdz7m5NmnP3F825u3Xc6u19cVP9Fx/VfeHKb2yg1TKzcXNzIyQkhBo1aristnatunTpwv79+41/zrlgNwuz2czEiROJiIggLCzMZVW3sLAwIiIimDBhQpE+7y57mXr27MkLL7xAREQEnTp1omrVqlitVhISEozVMqOjo4mJicFqteLl5YWfnx8Oh4PbbruNF1980Ui3bNmyPP300+zZs4enn36a1q1bA9CoUaMCC+xE5MaUKVOGRo0aAVmPQggKCiIiIsLY5uTl5YXD4eDEiROUKVMGh8NB1apViY+Px+FwUKVKFQYMGMDSpUtp27Yt7dq1IyIigueff56ePXsabZu3tzeDBg3izJkzBAYGMn36dGJiYpg+fTqBgYGcOXOGQYMGXVMAcyPtqoeHR4GX53qUlHKIiEjebr3xYUVg5cqVNGnSxHjt7Lm7mfTo0YOFCxcyZMgQ7r33XmN7rVq1WLhwYbE85y57mZYuXQpgPHICsr7dz8458TT79t9//520tDS+//574zl3c+fOZe7cuS7n3kzPIxS5FcyePZvmzZvjcDjYtGkTAKdOnXI5Ji0tDYDsA1JOnz4NYDznbuTIkQBs2bLFOGbkyJE52jbn89omT55M//79jWMtFgvDhg27rue53Ui7WhjluR4lpRwiIpI7BXcFwG63Y7PZjNUuu3TpkuucO5vNhpubm8twnJKsR48edO/enU2bNhEbG0u1atVo06ZNkfbYXa1MlStXBiAuLo6AgAAiIyOJioqievXqbN26lePHj1O7dm369+9PQkKCyzX06NGDpKQk+vXrx9GjR6lTpw6DBg0qsnmEInLtNmzYwOTJkzl69KjLe9vPz4/PPvuMY8eOUbNmTapVq8aJEyeoV68e4eHheHt7Y7fbc2078mrbxo8fz3vvvcfHH39stBEDBw68oZ6pG2lXC6M816OklENERHJScPc/7du3d3nGndMzzzzDM88847Lt8mmKVquVtLQ0WrZsyfnz543hnZefExQUxIoVK4y5ejcDs9lM+/bti7sYLq5Ups6dO19TWmXKlOG///2v8XrPnj03UjQRKWSXv2ezu9oiHtfTnnl4ePDaa69d0zlXcyPtamGU52Yuh4iIuFJwVwBGjRpV3EWQAtKwYUN2795Nw4YNi7soIpKN3psiIiJXp+BOJBsfHx+Xh5yLSMmg96aIiMjV3RyTv0REREREROSKFNyJiIiIiIiUAgruRKTQlff1wNNSPM2Nw1aW9Pj7cdjKFkl+nhY3yvtq1UAREREpeppzJyKFroa/N2uHtudCsrXI87bZbGze7EPrx1tjsRR+k1fe14Ma/t6Fno+IiIjI5RTciUiRqOHvXSxBT0ZGBsfLQOPq5XB3dy/y/EVERESKioZlioiIiIiIlAIK7kREREREREoBBXciIiIiIiKlgII7ERERERGRUkDBnYiIiIiISCmg4E5ERERERKQUUHAnIiIiIiJSCii4ExERERERKQUU3ImIiIiIiJQCCu5ERERERERKAQV3IiIiIiIipYCCOxERERERkVJAwZ2IiIiIiEgpoOBORERERESkFFBwJyIiIiIiUgoouBMRERERESkFFNyJiIiIiIiUApbiLoCI3FpOJaRyIdlaZPnZbDZOJsGBmEQslqJp8sr7elDD37tI8hIRERFxUnAnIkXmVEIqHSesJ92WWWR5miyJuPvvYOKMFBy2ckWSp6fFjbVD2yvAExERkSKlYZkiUmQuJFuLNLADMFku4VnpJ0yWS0WWZ7ots0h7J0VERERAwZ2IiIiIiEipoOBORERERESkFFBwJ5IPKSkp7Nmzh5SUlOIuikippfeZiIjIjdGCKlexb98+ypcvT82aNfN9zv79+zl//jxt27YtxJKVDFarlY8//pijR49Sq1YtQkNDOXv2LNWqVaNNmzaYzearnlenTh369+/P1q1bWb9+PQDt27enffv2Oc632+1s2rSJ2NjYXPOw2+2sX7+etWvXcuzYMQ4dOoTD4SAoKIjHHnuMatWqERkZyZ9//onJZKJly5YEBQXRpk0bACPtgIAAIiMjiYqKok6dOrRq1Yp77rmH3bt306xZs8KpTJFb3MGDB2nevPkV32fnz5+nXbt2xMTEULVqVfr06UNcXBx16tRh4MCBeHh4AFdvK5xt0KFDh4iNjaVq1ao0aNDASOPyNuq5555j5syZxuvseV0pv9TUVIYNG8ahQ4fw9fUlLCyM4ODgK7aP2cuXV34iIiK5UXB3Fa+++iqNGzdm2rRp+T5n7dq1TJs2jT/++KMQS1b8hg8fzuTJk7HZbLnuDwkJYeLEifTo0eOq5w0aNMjlmPfee4/KlSvzySefGOcvWrSIIUOGEBUVlWseixYtYsCAAcTFxeUoy549e1iyZEmO7c7fa+XKlXE4HMTHx+d6LVf6ECYiRaNq1aqcOXPGeH3+/Hneeust4/WwYcMYNGgQrVq1umJbcaW2a9iwYTRt2pRffvnlim2UM6/x48fn2TZVqlSJXbt2uZy3ePHiHOW5XG7ly56fiIhIXjQsM5vHH38cLy8v/P39jX979+5l7ty5Ltt8fX1p3LgxANu2bSMgIICQkBDjX3h4OGfOnDFeBwYG4u/vz8aNG4v5CgvO8OHDCQ8PJyAggAEDBmAymbjjjjsoX748AE899RShoaH06tWLRYsW5XrejBkzmDlzpku6vXv35qeffqJ169bExcUZ5y9atIhevXoRGhrKtm3buHTpEtu2bTPyGD58OL169XIJ7Nzcrnx7P/bYY1SuXBmAuLg44uPjjR68ChUqcPvttwMwYMAA/Pz8APjoo49usOZE5HpkD+yqVq0KuH7pUq5cOQICAggPD6dnz555thVhYWGEh4cbvWAVK1akX79+VKpUyUhr165deHh4MGPGDAYMGACAyWQCstqDGTNmGHmFhYXl2jalpaWxa9cuox3q0KED/fr1M/JNTU3N0T5CzjYyNjbWJb/hw4cXRvWKiEgpYXI4HI7iLkRJ0bdvX+rXr8/o0aMBOHz4MP369eOHH36gcuXKJCcn4+vry4IFCxg3bhx79+5lx44dPP/88/z6668A/PDDDzRr1ozAwEAAFixYQKtWrQgJCbmmsiQmJuLn58fFixcpV65gns2VkZHB8uXL6datG+7u7tedjtVqxdfXl4CAAI4fP07Dhg0JDQ1l8eLFZGZmEhgYyLlz57h06RK9e/dm//79HD58GLvdbpwXHR2NyWSiTp06xMXF0bFjR3bt2sX58+dJTk7GYrHQvXt31q5da/Sq3X777SxevNglaMvMzKR79+6sXLkSi8WCyWQiNTUVd3d3qlevTmhoKJmZmSxfvtzlGrp27crBgwfZv38/ZcuWxeFw0KVLF1asWEHlypU5deoUbm5uhIWFsX//fubOncu9996L2WwmJSXlmodHFVTd3+z2n7rIw1M2F2mebl6n8K01heRjL5OZVqPI8o14uTVNavgVWX4l0bXe93v27Ml1WOb58+cJCAgA4Ny5c1SpUsVoR9LS0ihbtiwAMTExBAYG4nA4SElJwcvLy0gjMzOTRx99lGXLllG5cmXOnj1LpUqViI6OxmKxYLPZqF69OvHx8ZhMJkwmExcvXqR8+fIEBAQQFRVFSEgI586dIzk5GTc3N2rUqEFcXBwPPfQQP/zwg9E2paam4uPjg8lkws3Nja5du7JkyRLc3NywWq2ULVsWq9VKt27d+P333zl8+DBms9mlbXWWy8lmsxlta3Jy8lXbILU5xUd1X7xU/8VHdV+48hsbaFhmNm+++Sa+vr7G67p161K5cmUGDhzIyJEj6dOnD1u2bKFLly7ceeedxnEmk4n09HTMZjPvvfce48aNM4K7SZMm8d5771G9enXc3Nxc/lhnl56eTnp6uvE6MTERyHqjZGRkFMj1OdO50fSmTJmCzWZjzJgxbNq0iaioKGbPno3dbgfg7bffZuDAgUybNo1hw4bRtm1b1q1bx759+4zzHA4H69ev5/jx4wCMGDGCyMhIBg4cyJQpU3jllVcYPnw4ERERxlCnOXPmYLfbjXycOnXqREREhMsQpp49e7JgwQLmzJnDN998k+MaPD09OXbsGJ988gmZmVnPXXPW+VNPPYXD4cButxvl3/nzHiBrXs2b743nqf8bcE11ZrPZOJkE+06cz/MeuBUcjU8u7iIUmT9iL+Y5ZPlWca33/R+xCQAkpaa7tFPOHvWWLVvyxRdfuLQjnp6etGjRgl27dnHPPfcY7+dp06bxyiuvuKRfq1YtAG677TY2bNhgpOHMq23btnz//ffceeed/PLLL/Tt29fIy2w2G22bs43q27cvH374IbVr13ZpmwYPHgzA/fffz5o1a+jcubOx32Qy8corrzBhwgQ8PDw4duwY69ato127di5ta/ZyOV2e/5UUVHsv1051X7xU/8VHdV+48luvt+6nzFw0btyYTp060a9fPyIiIqhduzafffYZO3bs4KGHHqJ+/fokJCTwwQcfMHLkSAAcDgdms5nXX3+dNWvWcOzYMV544QXKlCkDZPX+DRgwAE9PTz766CM6deqUa95jx45lzJgxObavWrUKHx+fAr3O1atX39D5a9euBbICpBUrVgAQHR3NuXPnAIxvy9euXUuNGlk9JStWrODgwYPGecuXL3cZphodHe1yXt26dUlNTXXJN3se2R0+fDjHNmedRUdHc+jQoRz7jx496nItACdOnACyVuxz9vQ5y7Bm0zbjuM+W7eA7a9McaV6dBSJ/vo7z5GY0ZGFkcRehhMj/fZ9++ggAy9Zt48LZv4ZYnzx5EoBu3bq5tD/O92nXrl3ZtWuXy3w8ZzuSnbMtcM6tzZ4GwIULF4C/2g/niAzncZe3Uc5VPf/44w+XdLZv3w78NXz00KFDLvudQaazHVqxYgXJycm5Xlt2l+efHzfa3sv1U90XL9V/8VHdF478riSt4C6b/fv3s379embOnMmqVavw8vJi48aNvPzyy7z66qu89tprmEwm7HY7Tz75JJs3byYtLQ13d3c+/PBDAO6++25effVVWrZsCWTN45s4cSIdO3a8Yt5vvPGG8W0vZPUiBQUF0blz5wIdlrl69Wo6dep0Q93lR44cYfny5aSnp9O1a1cmTZpEYGCgcc3OeXQdO3Y0gruuXbtSvXp147xu3brh6+vLpEmTAAgMDCQyMtI4r1u3bsYHJKfseWTn7P3LzvkGCAwMpH79+qxatcplf506dYiMjKRjx47Gh6iaNWty8uRJfHx86NatG/DXh7QH2txDxHdzAej/UEue+r9W11RnNpuN7du306pVq1u+5+5WCXom9gqlTiXfqx9Yil3rff/7fm/6fgUPdbiHe+6+y9geFBTEb7/9xvLly3n88cdd2hGAf//73wBUqVLFaA+c7Uh2a9asYdWqVcb8uuxpAMyePRv4q/24/fbbOX78uHFc9ratW7duxuq+DRo0cEln5cqV7N27l9OnTwNQv359l/3OLwed7VDXrl1p166dS9t6edmBHPlfSUG193LtVPfFS/VffFT3hcs5wuxqNOcum2PHjrFz506eeOIJevXqxbp162jWrBkffvghjRo14osvvuCtt95i7969zJ8/nxdeeIE1a9Ywbdo0I0AYN24c0dHRLukOGDDAWIAlvzTnTnPuSiPNubu1aM6d5tzdilT3xUv1X3xU94Urv7GBVsv8n/j4eLZt28aOHTto2LAhBw4cwOFwsHPnTlq1akX58uX517/+xYgRI6hYsSIvv/wynp6enD59murVq7N06VJq1arFp59+yqZNm9i8eTObN29mzZo1vPLKK6Vq/LGHhweDBg3izJkzBAcH8+CDDxIREUHTpk2pXLkyZ86coXfv3vTu3ZuIiAgmTJiA2Wx2OS8wMJBZs2bxr3/9i9TUVJYtW0ZcXBw9evRg48aNtG3bloiICFJTU5k4cSKTJk0iIiKCsLAwlxXpwsLCWLZsGYMGDSI9Pd0YRpmRkcHJkyeJiIjIdXjTihUruOOOO6hVqxaZmZk4HA5WrFhBmzZtiIuLo3LlyjRt2pSlS5fy4IMP8vDDDwNZ8/H0rCmRolWhQgWqVKkCQEBAABUrVuTMmTN4eXkZgV25cuVo2rSp8X7u3bt3jrZi+fLldO/enbi4OLy8vDhz5gxVq1bl6aefplq1asTHx2OxWHA4HHh5eTFv3jyef/55zpw5g4+PD2fOnOH555/nyy+/JDAwkLi4OLp3787y5ctd2qa9e/dStWpVHA4HDoeDiIgIHnjgAZ5++mkjsKtSpQorVqww2kcgRxs5ffp0YmJimD59OoGBgZw5c4ZBgwapDRIRkTzduuPDLhMQEIDZbKZx48bUr1+fF198EYBZs2Yxc+ZMtm3LmnN18OBBXn75ZaZMmQJkDVEMDAzkkUce4ZFHHuHVV1/F19eX999/n/Pnz3P33XczZsyYUvcNhvNZS5MnT+azzz4D/pqfAjBv3jxq1arFwoULXZ7jlP28/v3750j322+/5dtvvwXI8Zy7hQsXMmTIEO69917j+Ox5tGrVyuU5d86FFfLifN6UMy+Hw8GmTZuArLk3zvk3n376qfHh69VXX71a1YhIITh9+rTxOATncMfsiyslJiaSkpLCsGHDjOfc5dVWOJ8jB1k9gXPnznXJq0WLFvzyyy8ubZRzkMsnn3wCgMViYdiwYS7Pubs8P+dCLwDr1q1zycPHxydH+wh5t5HZ8xMREcmLgrv/cXNz44knnmDBggVMnTrVCO7KlSuHp6encVxiYiI//PCDEdytXbvWeHQCZC2M0q5dOywWCytXrmTw4MG0bt26SK+lqIwfP5733nuPjz/+mKNHj1KrVi1CQ0M5e/Ys1apVo02bNrk+/Pvy8+rUqUP//v3ZunWrMYelffv2tG/f3uX8Hj160L17dzZt2kRsbGyOPJz7169fz9q1azl27BiHDh3C4XAQFBTEY489RrVq1YiMjOTPP//EZDLRsmVLgoKCjNX4nGkHBAQQGRlJVFQUderUoVWrVtxzzz2FX6kikqfTp09z/vx52rVrR0xMDFWrVqVPnz7ExcVRp04dBg4caPRqXamtyN4GHTp0iNjYWKpWrUqDBg2MNKxWq0sb9dxzzzFz5kzjdfa8rtQ2paamMmzYMA4dOoSvry9hYWEEBwfn2T5eXr7c8hMREcmLgrvLWCwWl3kOzgfXOrm5uRnb9u3bxx9//EG7du2ArG92//jjD+68807ee+89qlSpgslkYu/evQQGBhIQEJAjvZudh4cHr732WoGcd//993P//fdf8Tyz2Uz79u2vuP9q6XTu3DnPfdnTzn7cnj17rlguESkaFSpUMBZfupKrtRVXa7ty23+l4/PKz9vbm6lTp165sNdRPhERkdwouLuM2Ww2Js5n53xttVqN4TmnTp1i8ODBnDp1iqeffprY2FgaNmxI7969GT9+PHv37mXx4sXMnDmT/fv306hRI3bv3u2yIIjcHBo2bMju3btp2LBhcRdFpNTS+0xEROTGKLi7zGOPPcZjjz2Wr2O7detmLEf97bffUrNmTZeeuQ4dOtChQwcga6WzS5cuKbC7Sfn4+Lis3iciBU/vMxERkRuj4K6ABAcHX3G/xWKhfPnyRVQaERERERG51agbSUREREREpBRQcCciRaa8rweelqJtdhy2sqTH34/DVrbI8vS0uFHeVysbioiISNHSsEwRKTI1/L1ZO7Q9F5KtRZanzWZj82YfWj/e2mUl3MJU3teDGv7eRZKXiIiIiJOCOxEpUjX8vYs08MnIyOB4GWhcvRzu7u5Flq+IiIhIUdOwTBERERERkVJAwZ2IiIiIiEgpoOBORERERESkFFBwJyIiIiIiUgoouBMRERERESkFFNyJiIiIiIiUAgruRERERERESgEFdyIiIiIiIqWAgjsREREREZFSQMGdiIiIiIhIKaDgTkREREREpBRQcCciIiIiIlIKKLgTEREREREpBRTciYiIiIiIlAIK7kREREREREoBBXciIiIiIiKlgII7ERERERGRUsBS3AUQkdLpVEIqF5KtxV0MbDYbJ5PgQEwiFkvBNnnlfT2o4e9doGmKiIiIXC8FdyJS4E4lpNJxwnrSbZkFnrbJkoi7/w4yElrisJXL51kWJkRuL/CyeFrcWDu0vQI8ERERKRE0LFNECtyFZGuhBHYAJsslPCv9hMlyqVDSvxbptswS0TspIiIiAgruRERERERESgUFdyIiIiIiIqWAgjuRW1RKSgp79uwhJSWluIsiYtB9KSIicv2KfEGVS5cukZGRQYUKFYxt+/bto3r16lSqVKlA87JarXh4eBTZeZe7ePEiUVFR3HHHHTeclkhBO3jwIM2bN2f37t00a9asuIsjAsAvv/xC69atadWqFbfffjsOh4Njx46RnJxM+fLlOXPmDNWqVSMzM5OoqCgyMjKoV68eaWlpJCYm0rRpUwDjnMzMTOLi4qhWrRqPPfYYr7zyCmazmfXr17N+/XqsViu///47MTEx+Pn5ERQUxM6dOzl16hRly5blgQcewNPTkz///JPk5GQqVqyIn58fffr04eDBg/z5559kZmbi7++PxWKhTZs2mM1mI0/nawC73c6mTZuIjY29pn0iRe1G70fdzyLFp8iDuw8//JCVK1eybt06I4AaOXIktWrVYurUqQWWT3x8PE2bNmX+/Pm0adMmx36Hw4HVasXT0zPHvn79+nHbbbcxevRo0tPT8fLy4tSpU1SvXj3HsQkJCSQnJ2M2m3E4HFgsFiNIjYyMpG/fvhw5cqRAgkURkdIsLCyMJUuWALB9+3a2b8/fCqeHDx82fv75559zPebYsWNs3bqVYcOG4ePjk6+ewcTERL766qtc982ZMydfZQsJCWHixIkADBkyhKioqGva16NHj3zlI1JQFi1adEP3442eLyI3psiHZb7++uvY7XYWLlwIZAVhW7Zs4e233871+NTUVDIzc191z263c/HiRZKTk122W61WevfuTXp6Ov369SMkJCTHv6CgIO65554caUZHR7NkyRKeeOIJACP4yx6cZf8g8f3339O3b1/q1KnDo48+ykcffURgYCDBwcE8/fTTnDx50sizRo0ahIeHX0NtiYjcGpyBnbu7e6Gk7+b215+7lJQUly/28tuj4O7u7pKOU9WqVfH19QXAy8vL2D527FhCQ0Pp2bMnvXr1IjQ0lG3btnHp0iW2bdtGaGgovXr1omfPnnnuW7Ro0fVessg1W7Ro0RXv1avdjzd6vojcOJPD4XAUVWafffYZU6ZM4dKlS5QtWxaApKQk4uPjqVWrFgA7d+7Ex8fHOMfLy4v09PQrpjt27FhGjBgBZA37fPzxx0lNTeX555/Hz88Pk8nkcrzD4cDf3z/XHr1XX32Vo0ePEhERYWwzmUzEx8dTsWJFNmzYQKdOndi7dy+NGjUCsoJMf39/oqOj8fPzIzk5GU9PTzp37syYMWOMfGw2G5mZmfnqxUtMTMTPz4+LFy9Srlx+n+V1ZRkZGSxfvpxu3boV2gcoyV1JrPs9e/YU2rDM/acu8vCUzQWappOb1yl8a00h+djLZKbVKJQ8rkXEy61pUsOvuItRIuX3vk9NTcXHxwcPDw9WrlxJx44dsVgsOBwO7Hb7DZXh7NmzVK9eHas190dWdOnShVWrVrl8iWixWLDZbLkebzKZuPzPZnBwMACxsbHY7Xa6dOnCunXrqFy5Mr///jsVKlTAZDKRkJDgUg8ZGRnG36jL92VmZhIWFsb+/fs5fPjwNQ9pK4ltzq3iZq17u91O3bp1CQ0NZfHixS5fZOTnfrzR8wvKzVr/pYHqvnDlNzYo0mGZCQkJPPzww4wbNy7HvrS0NLy9vbFYXIt06tSpPL8tdQ6t9Pb+6wHCCxcupFGjRowaNYq5c+eSkpKS41yHw5Frb+Cvv/7Kxx9/TP/+/XMt/x9//MHjjz/O+PHjjcAOYMuWLQQHB+Pnl/UBz9fXl48++oiUlBTuvvtuvv76ay5dusRLL72UZ92kp6e7BLGJiYlA1hslIyMjz/OuhTOdgkpP8q8k1n1Satb99kdsAm7HzxVo2kfjk69+UCnxR+zFPAOBW53NZuNkEuw7cT5H257d2FHDAXjq/wbw/oQPAbj99jvYs2f3DZfhX//6F6+88goTJkzIdX/dunVZuXKly7bg4GCOHj2a6/EOh4O77rrLZfjn8ePHARg2bBjh4eHUqlWLZcuWERUVxbRp00hNTQVgw4YNtGvXzjhvw4YNee5zpte2bVvWrVuXY9/VlMQ251Zxs9b9hg0biIqKYvbs2djt9hxfrFztfrzR8wvKzVr/pYHqvnDlt16LNLjLTxR/+TEBAQHXlMezzz7LoEGDaNiwIZ6enrkGhZD1DVO7du3w9/cHsgLPPn36GD2Il9u/fz99+vThtdde47XXXnPZN2vWLNq3b2+8XrduHRMmTGDLli14enrSrl077rnnHpo0aZJngzZ27FjGjBmTY/uqVatcejILwurVqws0Pcm/klT3WyOzPrwO/i4Sz02pxVyam9eQhZHFXYQSzgKRuc+Dczqz6RcAVtoac/aXrEAr1V4wg0q2b9/O888/n+f+Q4cO5djmDLjyUqdOnVzn9jn/fmRPc+3atcbPK1ascJlGsHHjxjz3ZS9HbvvyqyS1Obeam63unfdjdHQ0587l/MLvavfjjZ5f0G62+i9NVPeFI7+rSBdpcJefiNNms91wV+4777zDuHHjGD58OMOGDSMwMJCjR4+ydOlSXn31VUwmE+7u7kZPG2QFV8HBwXTu3DnXb2zDwsIYPXp0jsDul19+Ye7cuZQvX5758+fz7LPPkpGRgd1u5/HHHwey5nM0btyYp59+mp9//pkqVarkSP+NN95g8ODBxuvExESCgoLo3LlzgQ7LXL16NZ06dVJ3eREriXVfvuLPjAcmPR7KbU0KdkXXo/HJt0zQM7FXKHUq+RZ3MUokm83G9u3badWq1ZV77mKa8m3UL3SxHOBk0wasif0Db7Mpz+OvRatWrTh27Fie++vXr8+qVatctmUfDZKbvHr1nPlkT7Njx44sX74cgK5du7p8wefr68ukSZNy3QcYC8rktu9qSmKbc6u4WeveeT8GBgbSsmXLHPuvdj/e6PkF5Wat/9JAdV+4nKP6rqZIgzuLxcLMmTOZOXNmrvsDAgKwWq03fEO4u7vjcDioXbs2X3zxBaNGjWLMmDHUrl2btLQ0zGYz3t7eLnPx3n33XVJTU/niiy+MbXa7nbFjxwJZvXM9e/bMkddrr71GYGAg48aNIyEhgZMnT/LKK6+Qnp7OlClTSExM5MSJE0RERPDFF19QuXLlXMvs6emZ68qd7u7uBf4GKYw0JX9KUt2X8c663xpU8+fO4GvrIb+aK32QL20aVPPTnLs8ZGRkcGo/3FGzwhXv+y8/m8q3sz9n7qxPWLlyJWuW/8Cvv+7DbDbf8Jy79957L9eVjp2OHDmCm5uby1B95zDL3JhMphy9ds45dx999BFms5ljx47h4+ND5cqVeemllxg1ahQmk4l27dq51EO7du2Mv0WX78vMzDSGeHbo0OG65yiVpDbnVnOz1X2HDh0ICQlh/Pjxuc6Zu9r9eKPnF7Sbrf5LE9V94chvnRbZapnp6ek899xzxMTEsHnzZk6ePMlLL73E6dOnOXv2LGfPnmXLli0FMgRxwoQJtG3blvnz57Ns2TLMZjOHDh1i5cqV3HfffSQnJ+cYrunh4eHSk7du3TpatGhhzMXI61um6dOn8/DDDxuvTSYTKSkpbN++nf379/PII4+QmJjIL7/8QmBgYI7FXUREbnXe3t50794dq9XKgw8+CGT1+t1oYAdQsWJFrFZrjjbf+WXaypUrc7TLec2hdHd3z7UNT09P5+zZs8aXk8uWLSMlJYUXXniB3r17k5qaSmpqKj179nRZQbBnz56kpaWRkpKSY19YWBgRERFMmDBBzweTImE2m5k4cSIRERGEhYVd8/14o+eLSMEosq/Xf/zxRz766COmT59Ox44diYmJITY2lhdffNHoyXv11VepVasWH3/88Q0FQQMHDqR+/fp4eHiQmZnJU089xYgRI4yVnMqXLw9kfaucVxS8ZMkSevTowYgRI64YKTdo0CDHtgsXLlC3bl3c3d3x8PDAbDbnOfdPRERg8eLFLs+5K2jZe+Yuf85dfoPIvKYWnD592vg5LS3N+Nn5DNfvv/8eyHqW3b333mvsr1WrlvFYoLz26blgUpR69OjBwoULr/t+vNHzReTGFVlwt2LFCrp06YK3t7fxKIDJkyczceJE7HY7KSkpfPfdd7Rt25bXX3+dESNGEBMTk6/hXTabjdTUVFq0aAFk/RFPS0tzWbLaZrMZ/wCqV6/O4cOHqV69urGoSnYffvhhnvk5ex6ffPJJIGv1tGHDhpGZmckzzzzD1q1bcx1vLiIieVu8eDFbtmyhdevWtGrVittvvx2Hw8GxY8dITk6mfPnynDlzhmrVqpGZmUlUVBQZGRnUq1ePtLQ0EhMTadq0KYBxTmZmJnFxcVSrVo3HHnuMV155BbPZzPr161m/fj1Wq5Xff/+dmJgY/Pz8CAoKYufOnZw6dYqyZcvywAMP4OnpyZ9//klycjIVK1bEz8+PPn36cPDgQf78808yMzPx9/fHYrHQpk0bzGazkafzNUD37t3ZtGkTsbGx17RPpCj16NHjhu7HGz1fRG5MkQR3ycnJLFiwgJ9//hl3d3fjeUO+vr689dZbAPTv35/Q0FB++OEHvvvuO5YuXcqAAQPyHAaTXWZmJmXKlCEmJgbImsCekZFhNCRWq5XRo0cDWSvNvP3229x9992MHz+enTt3cuDAASMPu92e4zEJbm5uHDx4kNatWwMwf/58du/ebQR36enphIeHYzKZiIyMZNasWaxbt464uDjgr+ci7d69m82bN/Pqq6/eaJWKiJRKzsVMpk2bVuDPX8zu/vvv5/7777+hNB566KFrOt5sNrusrJzffSJF7UbvR93PIsWnSII7Nzc3pk2bRp06dbBarfj6+hIcHGw8yNxut5OUlMSYMWMICgoyVo38+9//fl35/frrr8bPSUlJVKhQgf3797sc07hxY1q3bs3w4cNdgsf09HSXYTWQtVJmhw4djF7AsmXLuiwKEx4ejpeXFx4eHnz++eeMHDmSKlWqEB0dTXp6OnXr1iU2NpbRo0fTqVOn67omkYLWsGFDdu/eTcOGDYu7KCIG3ZciIiLXr0iCO29vb/r27QtkLVxy+PDhosgWgDJlyhg9hdndddddREZGEhIS4rJ95MiROY51zpfIi3MOH2Q9RN0ZtDZv3pxt27YBsHXr1mstukih8vHxKdSeEZHroftSRETk+t0665Xnol69egWepjOwExERERERKUpawlFERERERKQUUHAnIgWuvK8HnpbCaV4ctrKkx9+Pw1b8veSeFjfK+3oUdzFEREREgFt8WKaIFI4a/t6sHdqeC8k557sWjG75PtJms7F582Zat26dr0erXIvyvh7U8Pcu0DRFRERErpeCOxEpFDX8vUtE4JORkcHxMtC4ejnc3d2LuzgiIiIihUbDMkVEREREREoBBXciIiIiIiKlgII7ERERERGRUkDBnYiIiIiISCmg4E5ERERERKQUUHAnIiIiIiJSCii4ExERERERKQUU3ImIiIiIiJQCCu5ERERERERKAQV3IiIiIiIipYCCOxERERERkVJAwZ2IiIiIiEgpoOBORERERESkFFBwJyIiIiIiUgoouBMRERERESkFFNyJiIiIiIiUAgruRERERERESgFLcRdARG5+pxJSuZBsLe5i5Mpms3EyCQ7EJGKxFHyTV97Xgxr+3gWeroiIiMi1UnAnIjfkVEIqHSesJ92WWSz5myyJuPvvICOhJQ5buTyOsjAhcnuh5O9pcWPt0PYK8ERERKTYaVimiNyQC8nWYgvsAEyWS3hW+gmT5VKx5J9uyyyxvZYiIiJya1FwJyIiIiIiUgoouBMRERERESkFFNyJlDIpKSns2bOHlJSU4i6KSKHSvS4iIuLqmhdUsdlsxopzNpuN3bt307JlS2P/9u3bqVy5MrVr184zjYyMDDZv3sx9992Hh4fHdRQ7f6xW63Wlf73nXe7MmTMkJCTQoEGDG05LJL8OHjxI8+bN2b17N82aNSvu4ogUmuz3+m233cawYcM4fPgw9erVIzw8HG9v10VuUlNTcxzj4eHBpk2biI2NpVq1arRp0wbAZVvTpk155plnOHr0KHXq1GH27NmUKVPGJW2r1crHH39sHDNw4ECsViv9+vUztk2fPp0xY8ZcMf97772XrVu3upTHbrfnSPvyv1F2u90lnVatWhVu5V+Hy8vYpk0bzGazyzG51eP1/D3OT14iIqXRNQd37dq1o2/fvrz00kucP3+eHj16sGHDBurWrQvAG2+8wUMPPcTQoUMBcDgcWK1WPD09jTQcDgdPPfUU06ZN47HHHjO22+12rFZrjj/I1+PgwYO0b9+ejRs3Ur9+/Rz7MzMzsdlsuf7R6NChA88++yzPPfccf/zxB7fffjvp6em55nP27FmsVitubm5kZmbi5eVFhQoVAFi9ejVTp05l+/bCWaVPRERg8ODBbNiwwXi9atUqpk2bRvfu3Vm8eDEAYWFhLFmyJMcx3t7epKamGtsrV66Mw+EgPj4+17wiIyMpW7YsLVq0YOfOnQAMHz6cyZMnY7PZjOMGDRqU4zxnWa6Uv8VicUmnXLlyJCUlkZn516JFw4YNY9CgQYwfPx6ARYsWMWTIEKKiooxjQkJCeOKJJ+jWrVue9VaU8irjxIkT6dGjB5B7PV5+rQWVl4hIaXXNwzJnzJjB5MmTWb9+PZUrV2bs2LEkJiYCkJiYyNatWzl16hTvvPMOo0aNYtOmTdx9993cddddtGrVilatWtG2bVtq1qzJBx98QNOmTWnVqhUtW7akRYsW/POf/zTycjgcpKWl4XA4ci2LzWYjISGBtLQ0l+0JCQn07NkTk8lE586dCQkJyfEvKCiIxx9/PEeaO3fuJDIy0gg6PT09cXd3dznm8OHDxs+fffYZffv2pUaNGvTu3ZsJEyZQrVo1QkJCeOONN9ixYwc1a9YkJCSE6tWr880331xrlYuIyBVs2LABDw8PRowYwZEjRxgxYgQeHh4sWbKEsLAwI7DLfoyzjU9NTaVNmzZcunSJsWPHEhcXR3x8PGPHjs3R8z1x4kT69euHyWRi165d3H333QwfPpzw8HACAgKYMWMGsbGxhISEGOc0atSI9u3bu6QTGhqaI/85c+YAEBAQgMlkYs6cOTz11FMkJiaSmZnJgAEDiI2NZcaMGQQEBBAeHs7w4cNZtGgRvXr1IjQ0lG3btnHp0iW2bdtG48aNGT9+PP/9738Lr+LzKa8yhoaG0qtXLxYtWpRrPV5+rQWVl4hIaWZy5BU5XcGlS5eYNGkS8+bNw2w24+Pjw7lz53jrrbeYOXMmAwYMwG63k5GRQYcOHahTpw6LFy+mQ4cODB8+nKSkJLp06UJaWhrjxo1j+PDhPP744+zfv5+2bdsa+Zw+fZpq1apdtTzz58+nT58+xjndunWjRo0a/O1vf8PLywuTyeRyvMPhoHr16jRv3jxHWt27dycoKIipU6cCEBUVRZMmTUhKSgJg9uzZvPTSSxw9epRKlSoBEBsbS2hoKGfPnsXhcJCamkpmZiYdO3bk66+/pmHDhkDWcFQgR7CYm8TERPz8/Lh48SLlyuX17K5rk5GRwfLly+nWrVu+yiAFpyjrfs+ePUU6LHP/qYs8PGVzoeeTFzevU/jWmkLysZfJTKtRLGWIeLk1TWr4FUveJVlh3/dbtmyhdevWuLu7k5SU5DISw2q1UrZsWazWrMdUeHh4cOnSJTw8PLDb7dStW5dGjRqxZs0arFYrly5dIjQ0lCZNmgCwb98+Tp48iclkIikpiT59+rB//34OHz5MRkYGPj4+xhePVapUITo6GovFQlJSEmXLlsVkMhEQEMCFCxew2+14eHgQHx+Pv78/DoeDoKAgQkNDjfxr1qzJHXfcwaJFi+jRowe//vorp06dIiAggLvuuovffvuNw4cPYzabsdlsBAYGcu7cOapXr84dd9zB4sWLcXP76/va9P9v777DorjWP4B/l126BRBBpIvYMdZIFERRYlAIKCQmRm80ubFgL1iS3Kg3URP7jbGbmFw1pijRqBjFGgz2WKOxoFhBRWlSlt3l/P7gt3N3KQoKLKzfz/PwsDvlzDnvlN13Z+aMUgl/f3+kpqZK8xmCNtY+Pj7F6lhQUIDw8HCcO3cOt27dgr29vRRHLd22ZmdnP/ESzbIsS7sOKzMe/Kw1LMbfcBj7ylXW3KDcl2UmJCSgc+fOmD59OkxNTZGfn48ZM2YgPz8fbdu2xYIFC/Daa68Vm2/MmDGIj4/H3LlzsWjRIowdOxZmZmbo2LEj/P39ceXKFUyaNEm6zAUovDwmNTUVpqamegdpLSEElEql3r0Pa9aswVtvvYUBAwbg119/hUKhKDZvQUEBrK2ti5UXGxuLX3/9FfPmzSux7X/88QeioqLw7bffSokdUHj5pfb+BplMBisrK4wfPx4uLi5o2rQpPvvsM7z00ksIDQ0tNa5KpVLv0k/t2VCVSiUlhc9LW05FlUdlV5Wxf5xbuB1dSk6HyY2Hlb68xAfZlb6M6u5ScobepWRUSK1W49Zj4MzNR3pf2CvKjNmFl+q92f8tyGQyvf1LJpNhzJgxmD9/PgBg3Lhx0jQHDx5EUlIS1q1bhxYtWmD+/PkYMGCANEwIIf3Q+M4778DU1BTR0dHo2rUr9u/fj4CAALz99tv4/vvvAQAzZ86EEAIqlQoDBgyQ5uvcuTOioqKk5VtaWkrz3bp1C99//720/Js3b2LDhg0QQkjL0pbdokULvWUDwPTp0xEVFSXNp9FooNFopPZrNBpERERg6tSpevNVNd1YF60jgGJt1cZRl7atS5YswZgxY557WZUdD37WGhbjbziMfeUqa1zL9Wl76dIlhISEICIiAosWLdI7cF66dAn16tXDe++9J/1S6ubmhj///BMAYGJigvz8fAwcOBAvv/wyLl++jLp16+Lbb7/Fxx9/jPHjxxdLwkxMTFCvXr0n1ql27dp67z/++GNERkZi4cKFMDc3L3bWTsvS0hIXL16U3t+8eRPvv/8+vL29S5x+//79CA8Px/LlyxEREaE37uuvv9ZL3DZs2IDY2FgcP34cMpkMwcHB6NOnDw4cOCCdxStqzpw5mDlzZrHhu3fvhpWVVcmNf0ZxcXEVWh6VXVXEPuFcIgBgws/nYB6f+5SpqSJM3HTO0FWoxhTAuROVUvLdU5cAAFb2LoiNjS023tPTU++1dprff/8dAHD79m1pmrNnz0rDdLVv3x6xsbHSfXE7d+5EdnY22rdvLyV35ubmUtnactq3bw8LC4tiy9edT3f52vcPHz7UuwfP3Nwcd+7c0Vs2AL2ytfMV5e7uXmy+qqYb65LqWLStJa1HbVv37dsn3d//PMuqqnjws9awGH/DYewrR1l7hi5Xcte0aVNcvXoVo0ePxq1bt6BSqfDVV19h6dKl6N69Ow4cOAC1Wg21Wo2QkBC9XjRVKhVCQ0OhUChw/fr1YveeDRkypMIuP/z666+hUCgwfvx4zJ8/H3Xq1MGRI0dw9epVDBw4EElJSejRo4fePNHR0QgLC9P7wNTKy8tDREQEVq9ejTfffFNv3LZt2/D777/j8uXL+PTTTzFr1izExcUhPz8fQUFBAApvkG/WrBkiIyNx/PjxEjuMmTZtGiZMmCC9z8zMhKurK1599dUKvSwzLi4OQUFBPF1exaoy9rb2JzAXwMI3fNC81UuVuiyg8Mzdi57cLIj0gVf94lcDvOjUajWOHDkCX1/fSjlzF32uKfYkX0JO6m307l38x7EPP/xQen39+nW8//77AABra2ssXLgQLi4uOHnyJACgdevWuHHjBlxcXPTu8z558iRGjhwpdYwVHByMgIAADB48WJpGqVRKHZd8/fXXuHHjBk6ePInOnTsXW77ufLrL177v1KmTXidcSqUSXl5eessGCq9SKTqfLpVKhSVLlhSbr6rpxrpoHQEUa2tJHcBo2xoYGPjEDmLKuqzKjgc/aw2L8Tccxr5yaa/qe5pnuudOa8yYMWjWrBns7Oywc+dOfPfddwAKewlLT0/H2rVrS5zv5s2bCA4Oxh9//AEbG5tnXXypcnJyoFAoMHXqVLz00kv4xz/+gW7dumHw4MHo378/7ty5g4iICOkXVgDIyMiApaUlJk+eDBcXF0yaNAm5ubmYOHEiVq9ejfj4+GJdSwsh0KhRIxQUFODHH3/Eli1b4OXlhbZt22Lbtm2YNm0a8vLycPToUSQlJaF3795wdXUtUxt4z51x4T13lYf33FVfvOeO99zxnjt+1lY1xt9wGPvKVdbcoNy9ZRYUFKBjx45ITU1FWlqalJzJZDJERUWhWbNmWLduHXbu3ImmTZvi+++/x4gRI9CqVSvp75VXXkFSUhL8/Pz0hrdq1QqrVq165kZrRUdHw9/fHwkJCVi8eDGsra2hVCqxYsUKBAUFlfjhULduXb3hMTEx8PHxwdmzZ2Fubl7iM4NkMhl+++03+Pj46A1LTU3FmTNnsHPnTkRFRSElJQWXLl0qc2JHRERPp70KQqVSoXbt2pgyZQouX76MKVOmSIldWFgYwsLCpGRvypQpSExMRJs2bRAbG4v8/Hz4+/tDCIGhQ4di+/bt2L59O0aMGIF27dpBCAFra2ts27YNUVFRePfdd6XErmPHjoiOjsa9e/fg4uKCVatWITMzE+7u7hBCIDU1FU2aNEFAQADy8/NRt25dCCHg4+MjXe6pXf7s2bOxbds2uLi4YPv27Zg1axbefPNN3Lt3Dzt27ECvXr1w7949rFq1Ci4uLrh37x7Gjx+PRYsWYfv27QgPD9frHTIiIgInTpzA559/btDnu8nlcixYsKDEOoaHh2P79u1YsGABJkyYoBfHu3fvFmvr0553V5ZlzZ8/n8+7IyKjVu7rZE6dOoW0tDTY29vj8uXLGDt2LK5evQoAWLZsGYDCG8cbNGiAqVOnAgB+/PFHfP755wgJCcGvv/6KGTNm4MqVK7CyssJ///tfNG3aFJ06dcKMGTNw//79527U1KlTceTIEZiamiIlJQVz5szB1KlToVar0aZNG9SpUwePHj0qdf6CggJs2rQJkydPxquvvir9kluSkh5QnpaWhsaNG8PU1BRmZmaQy+UldghDRETPLyAgAAcPHsTcuXP1nodW0nPuik5jaWmJ+Ph46VdQ7XPudC/p1IqOjpZe6z7nDgAWLVqEYcOGFZvn4sWLevd3A4XPvDt37pze8uPj4wEADx8+hBACAwcOBPC/59ytWLECK1asAFB4qX90dLTUjk2bNmHixIl6l4F6enpi8uTJes+SNZR+/fqVWsdNmzahX79+0vPnisaxaFsrYllERMas3Mndjh07EBkZiYcPH+LixYto2bKllNyVRtupydatWxEZGYmPP/4Y33zzDe7fv4+4uDhcu3YNZ86c0ZsnJSUFDx8+LNMvbGq1GhqNBi+9VHh/kUajgVKphEwmg1qthhACarUa+fn50Gg0sLGxQUZGBh48eIA6deroPWAdKOzIRXvDu+5DULW2bdsGMzMz9OrVC8D/HsqemZmJ2bNnIyEhQe+RDkREVHkWLlyI5s2bIzo6GleuXIG3tzfmzZund3/zli1bkJubW2waMzMzxMfHIzk5GU5OTvD39wcAvWFt27bF4MGDkZiYCC8vL6xbt06vl+a5c+fis88+w7Jly6RpoqKikJ+fj0GDBknDVq1ahZkzZz5x+Z07d0ZCQoJefTQaTbGydc9i9evXD2FhYXrl+Pr6YteuXVW3Ep6ipDr6+/vrfcaXFsennbF7lmURERmrciV3QgisX78e3333HRYvXoyQkBBYWlri8ePHememinYJXlBQAKDwpu+IiAhYWFjA2dkZr7zyCqKiovDbb7/h4cOHyMjIkB4xsGrVKnzxxRdQKBSl9nippdFo0LJlSxw5cgRKpRKdO3eGjY2N1EPn/fv3MWPGDADA48eP8c0336B9+/bS5TQ7d+7UK0tbX6DwMo/c3FzcvHkTbm5uKCgowKpVq2BtbS0ld0qlEhs2bEBCQgIePnyIPXv2YP78+di9ezeAwuRWCIEdO3YgOzu7WKcsRET0fCwtLaXnk5Z3mqIPGS9p2NMeBm5mZoZx48YVG1Z0vrIsv+h7uVxerOyi5HK53nzVsSvyonUsSUlxrKxlEREZo3Ild3v37kVycjIcHBzw5Zdf4tChQ5gzZw6WLl2KlStXQgiBf/zjH9i5cyeWLl0qzad9flv79u3xww8/FCt38ODBaNasGdLS0qQzZp988gk++eSTcjfI3Nwcd+/eld6fP38e/fr1w/nz5/Wmy8rKQt++ffV6HNPWNS8vT3rfsGFDdOjQAV5eXtLN8/b29oiJiZGm2bhxI+rWrQsfHx90794dS5cuhbm5OfLz86FUKtG6dWusWrUKp0+fxsiRI8vdJqLyaNasGU6ePFnqYzeIjAW3dSIiIn3lSu569uyJU6dOwcvLC+fPn4erqyuaN2+OadOmSdO8+eabGD58OLp06SINK8ulIRcuXKiU+9JatWqFy5cvFxseFhaG8+fPo0WLFnrDi3boIpfLcfTo0ScuQ3u20czMDHv37pWevRcRESE9E+/gwYPP3Aai8rCysqqSXjKJDI3bOhERkb5y33OnfYCotufHos8u0n2Yd3kYosORooldRSj6UHUiIiIiIqKqwC4ciYiIiIiIjACTOyJ6LrbWZjBXGO5QItS1oXzQA0JtmLPm5goT2FqXrzc/IiIiospQ7ssyiYh0OdtYYt+kbkjLzjdgLXqXOkatVuPQoUPw8/Mrdhl5RbC1NoOzjeXTJyQiIiKqZEzuiOi5OdtYVtsER6VS4UYtoGXDOjA1NTV0dYiIiIgqDS/LJCIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgIKQ1eAiKg0d9JzkZad/1xlqNVq3HoM/HU3EwqFArbWZnC2saygGhIRERFVH0zuiKhaupOei8D5B6BUFzxxOpkiE6Y2R6FK7wShrlPKVArMP3cEAGCuMMG+Sd2Y4BEREZHR4WWZRFQtpWXnPzWxAwCZIgvm9fdCpsgqU7lKdcFznw0kIiIiqo6Y3BERERERERkBJndERERERERGgMkdET1VTk4O/vzzT+Tk5Bi6KjUOY0dERERVxag7VDl//jySkpLQp08fyGSyMs2jUqlgamr63Mt+/PgxatWq9dzlEOnKz8/HsmXLkJiYCC8vL0RFRcHMzOy5y9VoNIiPj0dycjKcnJzQqVMnLF68GKtXr0Zubi68vb0RHx+PkydPol27dhXQkhfHqVOn4OfnB2dnZ9y5c0cabmpqiqZNm6Jly5ZQKBRwd3dHYGAgOnTogMGDB0vr+Ntvv8WJEydw4MABAEC3bt3QrVs3yOVyab3duXMHKSkpSE1Nxa1btwBAKq9z585Yvnw54uPjUbt2bQwaNAivvPIKpk6disuXL8Pa2hqvv/46MjIyUL9+fTg7O6Nz587Yu3cvFi5ciLS0NDg5OaFFixa4desW7t27B6VSCXd3d7Rt2xZOTk5o0KABAODu3bs4evQohBDw9vbGBx98oBeLottZ586dkZCQUOp7f39/vXbqDtdoNE/cFzQaDXbv3i21oWHDhoiIiIC7u3up5Xbq1AkrV66Uyhw2bBiOHj2qt1wAOHDgQLH1AUBaFw8ePJBiqV1WSe3XHVeaJ8XMwcEBAHD//v0yl2csSoolgBJj9aR1UtblPK0MjUYjbRcajQYWFhbo1avXM3+feJZtpTz11Z1+7969+Oabb3D06FGYmZmhe/fuWLRoESwtLZ+rLlVNW89bt27h+vXrsLS0xMOHD6t1nan60t2nAf3P3mpPGCmVSiVeeeUV0bhxYzFnzpxif7NnzxYzZswQKpVKb76lS5eKwMBAUVBQIIQQwtfXV2zYsOGpy/P29hY7duyQ3r/++uti6tSpz1z/jIwMAUBkZGQ8cxlF5efniy1btoj8/PwKK5PKpiJiHx0dLRQKhQAg/SkUChEdHf1cddu8ebPw8PDQK7e0vxYtWjzXssrj3O104T5l+1P/PKevFK2+bSU8p68s0/TuU7aLc7fTq6QNYWFhZYpref8cHBxEdHR0mdebof4UCoUIDw8X+fn5JW5nJW3Puu89PDxKbGedOnWEiYlJqfvC5s2bhaWlZan1Kq3cssS9Tp06xYbXqVNHODg4lLqszZs3l9h+7bjSlCVmpZVnzMf7kuJSv379YuugtFg9Le5PWk5JZWzevFnUr1+/2DT169cv03LKstyy1Lms9dWdvqTtWfsXFhb2zHWpak/7HKuOdTZGxnLcKW2fdnBwMOh2VNbcwGgvyxw7diw0Gg2mT58OFxeXEv+cnZ31zugJIbB06VL0799fGm5ubq73a/DVq1chhJDe//TTT7h16xZsbW1hZWUFAEhOTsbevXsxatSoKmotGbvJkydj3rx5qFevHlavXo3k5GSsXr0a9erVw7x58zB58uRnKjcmJgaRkZHw8fHB4cOHMXbsWL3xr7zyCj755BNpH7hw4QJefvnl527PiyA8PBxbt2595vnfffddvfdNmzbF3r174efnh/v372PevHmQy+UlXpXg6upabNi0adPg4+NT4nTaMurUKe1REv/ztKsg+vbti6CgIACAtbU1tmzZgoiICL3tbP369ZDJZKhXrx6AwuO17vv169fj8OHDsLe3x7x582Bvb4/Dhw8jKysL77zzDjIzM1FQUIARI0YU2xfCw8MRERGB3Nxc6RfW9u3bw9nZWapjWlqaXrna7d7MzAwymQwjRoyATCaTtvuxY8dizpw5uH//PjIzM9GsWTPs3bsXe/fuRfPmzZGZmYn79+8DAIKDg7F69WoEBwdDJpPB3t4ekZGRiIiIkNqflZWFw4cPw8fHB5GRkYiJiSkWx6L7ZtGYAYCfnx/8/Pwgk8kwZ86cJ5ZnLIrGJSsrC3PmzMGDBw9w//59zJkzB+vXrwdQuP0BQNu2baV1AkBaJ0+Kk3Y59vb2AEpfr5MnT0ZERAQePHgAPz8/7N27F7t27ULz5s3x4MGDcq+Pktr3tG2laH1lMplefUtqc0xMDCIiIpCZmQkAkMvleOONN9CkSROpzK1bt5Z7uzUE3ZjNmTMHMpkMzZs3R+fOnQHghdk3qGJo9w3dfVr3s7dGbEdVkmpWoby8PDF06FDh7e0tVq5cKdq1aye6du0qAgICpL+uXbuKjh07il27dunNGxMTI+rVqyfy8vKkYQEBAeLnn38WQghx//590aBBA7FixQppvJWVlUhKShKdOnUSe/fuFSqVSowcOVI4OzsLMzMz0ahRI2FiYiJcXFxE/fr1y9wOnrkzLs8Te6VSKRQKhXB0dCx2plmlUglHR0ehUCiEUqksV7lqtVp4eHiI0NBQodFohFKpFHK5XPqFqnfv3sLT01Oo1Wpx9OhRvV+vsrKyyt2O8qrJZ+5ycnJK/QXZ3Nz8iWeHzMzMhIWFhZDL5cLS0lL07t1bL+75+fnSeIVCIczNzYWlpaWwtLQUffr0ESEhIcLd3V2ax8TERFhaWgpXV1epfO04hUIhQkJCRG5urjA1NdWrh4WFhZDJZMLCwqLEMxJFz4yZmJhI20x+fr4IDQ0V7u7uom7dugKA6NOnj9BoNHrbnUqlEiEhIVI9VCqVCA0NFZ6enkKpVAp3d3fh6OgobYe6+0KfPn2k4UL8b1/QjaObm5u0fWs0Gr1Y1q9fX3h6eoqcnBypTKVSqVcfpVIpHB0dhVwuF+7u7sLCwkKvPmq1Wri7uwsHBwchk8mEpaWltI9rNBqpLRYWFsLKyqrY/q87jbYdQhTfN3Xf5+XlCUtLS6k83TK0cff09BS5ublGd7wvGhfdYSEhISIkJER4enoKd3d3ERISIjw8PISjo6Pw8PAQarVaipV2+qJxL7oc7b6kuzzdePfp00faT0NCQqRp8vPzRUxMjOjdu7ewsrIqdTllaZ9WadtK0foWnb+kNiuVSuHm5qa3r2g/PzQajejTp4/evv348eMy16Wq6cYsPz9feHh4iD59+oiYmBiRl5dX4r5h6Dobs5r+PVN7TC+6TwtRuN2HhISUa5+uaGXNDYzunrt79+7h9u3bePfdd5Geno6333671Gk9PT2l1zk5ORg/fjwaNGgAc3PzYtM+fvwYYWFh6Ny5M/75z38CKLy/RK1WIyAgAMnJyXj77bfRtWtXxMfH49y5c2jcuDFOnz4NW1tbrFmzBuPHjy+1LkqlEkqlUnqv/TVNpVJBpVKVOw4l0ZZTUeVR2T1P7JcsWQK1Wo2ZM2dCCFGsjOnTpyMqKgpLlizBmDFjylzuwYMHkZSUhHXr1kGj0WDJkiXQaDQAgIEDB2Lo0KHo2rUr9u/fDzNLa715Q/u9iUWr15W7LeWR+CC70sq+lJwBtVpdaeXP+VfpZ1J19/OS5Of/7xl8ubm5mDZtGmxsbPD9999jwIABGDNmDPLy8qRpdNsxdepUCCHQtWtXaVhBQQFyc3Ole/H69euHH374QZr31VdfhVwuR9++ffHTTz9J82mXobssrebNm+P333/XG1ZQUIBevXohNjYWBw8eRHR0NLp27Srd9+Tp6QmNRqO33QkhEBQUhO3btyMoKAhCCGm+JUuW4MaNG1i+fDlGjBiB/fv348yZM9K+0KJFC2n7DAgIAAC8/fbbWLx4sV47N2zYIG3XU6dORWxsrF4bJkyYIJUpk8n06iOTyaT968aNGwCARYsWSfUBgBs3bmDcuHFYvHgxcnNzcfDgQak+2rZo6Y7T0k6j246i+6bu+/j4eOTm5uqVpy1DN+7a+0SM6XhfNC4lbU/aeE+cOBHbt2/X2350YzV+/Hhs375dL+5Fl6OdZv369dLygP+tsz59+kCj0SA3NxdTpkyRplGpVDAxMcGkSZMQGxuL69evl7icsrRPV0nbiu58EyZMwPbt24vNX7TNS5Yswc2bN6X5x40bB5lMJm0rU6ZMwY4dO6TxkyZNwpdfflmmulQ13ZhpX69duxYZGRnQaDQl7huGrrMxq+nfMw8ePCgd63X3aa3Jkydj+/btZd6nK1pZ42p0yZ2bmxt27NiB5cuXIysrCwpFyU1cvXo1GjVqBG9vbwDABx98UGrHFBkZGejVqxfq1auHjRs3Spf67NmzB3379sUPP/wAX19ffP755zhx4gSCgoJw4cIFNGnSBA8ePICFhQWEEHqX0xQ1Z84czJw5s9jw3bt3S5d7VpS4uLgKLY/K7lliv2/fPgCFlwhrv5jqsrCwkKZr3LhxmcvVfjm/ffs2Hj58KC0HKLyMTdv5x86dO6Gwddab949TFxC+/Ej5GlKNTNx0rlLLvxd/qsLKun37Ntq3b4/vv/8eZ8+exc6dO5847dNoO0nQunz5MmJjY6VL2MoiNTW1xOFXrlwBULjNdOzYEcD/tk/tcopud9p5rly5gtjYWClx0d3utWX+/fff0jDd7TM7u/CHAN0eSbXt1C4HgFS2bhuOHDkilRkbG1usPtr6a+nWR0t3ubr10V1e0XFa2ml0xxWNke7748ePFytPtwxt3OPi4tC1a1ejOt4XjUvRYbouX74M4H/bX9FY6W6rRdeJtkztNLrLA/63zrTLKGkaoPDHZq2SllOW9ukqaVvRnU9bn9Lqq22P7rEeKPyhW/ezpeh2e+TIkWKfPaXVpaqVtG+kpKTA0tIScXFxJe4bhq7zi6CmHnd0f7QsaT/U3TcMsR2Vtddto0vutHbu3ImsrCy9Xm1SUlLQvHlz/Pzzz9izZ49078jOnTvx+++/45tvvinx7Nq4cePQp08f/Pe//9VLAPPy8hAZGak37aRJkwAAAwYMwMCBA3HlyhV4e3sjMzPzib1nTps2DRMmTJDeZ2ZmwtXVFa+++mqZ7oMpC5VKhbi4OAQFBVVIj6BUds8T+6tXryI2NhZKpRK9e/cuNn7NmjUAgMDAwBLHl8ba2hoLFy6Ei4sLOnXqJC0HAE6ePImhQ4cCKLzXxMzSGnN15u3StgUWjfAtVzvKK/FBdqUlYQsifeBVv+zJTHnNudsWPyVVTILn4uKCbdu2AQBat26N4OBgLFy4sNRphc49wSUp+sWtSZMm6N27N77//vsy10l7H1JR2h/LgoODpSRIe+ZPu5yi2532V1Jvb2/07t1bSrYCAwOl7V5bZsOGDaVhXl5e0nDtr6fas1W67dQuB/hfIqfbBl9fX5w+fVrav4rWR7t/aenWBwAWLlyo9wOcbn10l1d0nJZ2Gt1xRWOk+97e3l5a/9p5dMvQxj0oKAhKpdKojvdF41J0mO62r713TLv9FY2V7rZadJ1oy9ROo7s84H/rrEmTJti9e3exabTHe0dHR2mekpZTlvbpKmlb0Z1P2+bS6qttj3bf0rp+/Tref//9YtNr+fr6FvtsKa0uVa2kfaNBgwbIyMhAUFAQTp48KdVTu28Yus7GrKZ/z9RuT0Dx/QjQ3zcMsR1pr+p7qkq+PNRg1q1bJ6ZMmSKmT58u/fXt21e8//77Qggh+vbtK3755Rdp+vv374tTp06Jli1bSsO2bNki6tatK0aPHi31nlkSjUYj2rdvL959910xYsQIsXfvXuHk5CQyMzPFhx9+KIYNGyZWr14tIiIiylx/3nNnXHjPXfnxnjvec8d77njPnS7ec8d77oriPXfVS03/nmks99wZZXLn6+srXn75ZdGlSxfRpUsX0bp1a/HKK6+IVq1aCXd3d9GlSxcxZMiQYo840CZ3V69eFZGRkcLZ2Vm4u7tLHaoUtXHjRtGzZ0/h5OQkrKysxIQJE8SGDRuEjY2N2Lhxo8jPzxeurq4iLi5OLFiwQAwaNKjMbWByZ1yeN/bR0dECgHB0dBQrV64Ud+7cEStXrpS+zD7r4xA2b94sZDKZCA0NFQkJCWLs2LF6H+qdOnUSH374oV5C0LFjx2daVnnV5OROiOd/DMKgQYP03jdp0kTExcWJLl26SMO8vLyETCYrNq82kdP9mzp1qmjZsmWJ02nLeFK36Nq/kpan+xcWFiaCgoIEACmxCw0N1dvO1q9fL2QymbT9jh07Vu/9+vXrRUJCgujQoYMAIDp06CASEhJEZmamGDBggLSs4cOHF9sXdOOu/bGiXbt2omHDhtJwbb205Wq3ezMzMyGTycSIESOETCaTtvuxY8eK2bNnS/M3a9ZMxMXFibi4ONGsWTO99gcHB4uVK1eK4OBgIZPJRIcOHaSYadufmZkpEhISpLiU1LV20X2zaMwAiC5dugg/Pz8hk8nE7Nmz9coz1uN90bhkZmbqrZvZs2eL9evX663ntm3bSutEu95Li3vR5Wi3wdLWq/bYDED4+fmJuLg48dtvv4nmzZtL+0t5uk4vqX1P21aK1lcmk+nVt6Q2b968WW+7lcvlol+/fsLb27vYPl3eulQ13ZjNnj1byGQy0bx5c9G5c2dpm6hudTZWxnDc0d03tPu07mevIbejFzq5E6LwzNwXX3whhBDCy8tLnDhxQowZM0bMnDlTCCHEJ598IubMmSNSUlKkebTJ3Q8//CAGDBggUlNT9XrLLOrs2bNi48aNIjc3V3Tq1Ens379fZGVlSdN/8cUXws/PTwghxPTp08WwYcPKXH8md8aFz7krv5qe3AnB59w973PuPD09K+U5d6WVW5a4l/c5d56enqU+5047rjTlfc6dbnnGfLwvKS4ODg5lfs7d0+L+pOWUVEZFPxPrWbaV8tRXd/pnec5dWeNXlZ72OVYd62yMjOW4U9OfcycT4ik3aNRQf//9N7744gtkZWVh27ZtEELgww8/xEcffQRTU1Ps3LkTixcvhlKpxPjx4xEWFobTp09j4MCBOH/+vFROt27dMGrUKOneurS0NKxatQojR47Uu4dO26FKt27dAAC//PILhg8fjoSEBHh5eWHcuHEwNTXFvHnzylT/zMxM1K1bFxkZGRV6z11sbCx69+5dI6+FrskqKvb5+flYtmwZEhMT4eXlhaioqFI7AioPjUaD+Ph4JCcnw8nJCZ06dcLixYuxevVq5ObmwtvbG/Hx8Th58iTatWv33Msri/N3MhCy5NBTpzOxuANrzyXIvj4aBXnOT50eALaP9kMr57rPW8Uy+eOPP+Dn5wdnZ2epExAAMDU1RdOmTdGyZUsoFAq4u7sjMDAQHTp0wODBg6V1/O233+LEiRPS/WTdunVDt27dIJfLpfV2584dpKSkIDU1VeoVU1te586dsXz5csTHx6N27doYNGgQXnnlFUydOhWXL1+GtbU1Xn/9dWRkZKB+/fpwdnZG586dsXfvXixcuBBpaWlwcnJCixYtcOvWLdy7dw9KpRLu7u5o27YtnJyc0KBBAwCFPQgfPXoUQgh4e3vjgw8+wJ49e6Ttvuh2pu1Js7T3/v7+eu3UHa7RaJ64L2g0GuzevVtqQ8OGDREREQF3d/dSy+3UqRNWrlwplTls2DAcPXpUb7lA4b19RdcHAGldPHjwQIqldlnaOhVth+594SV5UswcHBwAAPfv3y9WnrEf70uKJYASY/WkdVLW5TytDI1GI20XGo0GFhYWmDx5crEOeZ6nfWWpc1nrqzv93r178c033+Do0aMwMzND9+7dsWjRIqlTometS1XT1vPWrVu4fv06fH198fDhw2pdZ2NjTMcd3X0a0P/sNZSy5gZGl9wJITBgwADExsaiV69eGDduHPr374/33nsPX3/9Nfz9/TFx4kS0bNkSjRs3RkpKCpKSkuDq6oqTJ09i0KBBuHDhglRejx49EBgYiI8++ggA8PPPP+Odd95BamqqXmDbtGmD+fPno2XLlpg5cyZiYmKwY8cOJCcn4969e5g1axY+/vhj6TEKT8PkzrjU9Nj/+eefaN++PZO7Z2CI2FUXNX27r8kYe8Nh7A2L8Tccxr5ylTU3MKnCOlUJmUyGgQMH4s8//8Ty5cvRs2dP2NnZYerUqbh48SI8PT2RkJAAS0tL/PDDD5g5cyZcXV0BFPaCVvSZTiEhIfj000+hUCigUCjwj3/8A+PGjSsW1KysLOTl5aFOnTqwt7fH6dOn0bFjR6SlpWHPnj346KOP8N5771VZHIgqUrNmzXDy5Ek0a9bM0FWpcRg7IiIiqipG+SiEPn36SK9v3ryp12337Nmzpdf+/v7SpRwA0LlzZ1y7dk2vrPHjxz/x4eNaiYmJ0uvPPvtMev3uu+/i3XffLV8DiKoZKyurF+6sU0Vh7IiIiKiqGN2Zu6JKex4TERERERGRMTH65I6IiIiIiOhFwOSOiKolW2szmCuefogS6tpQPugBoa5dpnLNFSawtX7+HkaJiIiIqhujvOeOiGo+ZxtL7JvUDWnZ+WWYunepY9RqNQ4dOgQ/Pz8oFArYWpvB2cay4ipKREREVE0wuSOiasvZxvK5EzGVSoUbtYCWDeuwa2YiIiIyarwsk4iIiIiIyAgwuSMiIiIiIjICTO6IiIiIiIiMAJM7IiIiIiIiI8DkjoiIiIiIyAgwuSMiIiIiIjICTO6IiIiIiIiMAJM7IiIiIiIiI8DkjoiIiIiIyAgwuSMiIiIiIjICTO6IiIiIiIiMAJM7IiIiIiIiI8DkjoiIiIiIyAgwuSMiIiIiIjICTO6IiIiIiIiMAJM7IiIiIiIiI8DkjoiIiIiIyAgoDF0BIiJdd9JzkZadX2HlqdVq3HoM/HU3E/XrWsHZxrLCyiYiIiKqTpjcEVG1cSc9F4HzD0CpLnjidDJFJkxtjkKV3glCXacMJSsw/9wRmCtMsG9SNyZ4REREZJR4WSYRVRtp2flPTewAQKbIgnn9vZApsspVvlJdUKFnBYmIiIiqEyZ3RERERERERoDJHRERERERkRFgclcGBQVPv0ysNPn5vASMqr+cnBz8+eefyMnJMXRVXhiMOREREVU0dqjy/4QQyMvLg6Xl/zpayMvLg7m5OdavX4+vvvoKW7duxbfffotp06bpzfvFF18gOTkZixcv1hv+22+/Yfjw4bh+/TpkMllVNIPomfz9999o3749Tp48iXbt2hm6Oi+EEydOICAgAF5eXmjQoAEiIiLw6aefIjs7G7Vr10a9evWQmpoKW1tb3LhxAxqNBubm5jh06BAGDx6Mu3fvwsHBAbVq1UJKSgosLCxw//595Obmws7ODocOHUJ0dDQSExPh6uoKALh16xa8vLzwn//8B8HBwUhKSoKZmRn69u2L7t27w97eHr/++iuuXbsGb29vzJs3TzomajQaxMfHIzk5GdbW1vjiiy9w8+ZN2NjYICoqCrt370Z2djaaNGlSbL6DBw/iwYMHMDc3x4gRI5CRkYHatWvDzs4OqampaNiwIfbt24e//voLycnJsLGxwcqVK3Ht2jW4u7ujQYMGuHnzJry9vTF9+nQMHToUiYmJcHNzgxACt27dgpubG5ycnKTpZs2ahbVr1yIxMREuLi64du0akpKSpHbJ5XIsW7YMly5dQkpKCpycnODp6QkAuHnzJry8vBAVFQUzM7Ni6043Fk5OTvD394dcLi9xXOfOnZGQkFBs2ieVoSs/Px/Lli1DYmIivLy8MGTIEHz00Ue4cuVKsXWkO62Hhwfc3NwAALm5uYiOji5xnrK2q2g9hg0bhqNHjyI5ORkODg4AgPv37z+xLTVZedbXkiVLsG/fPly9ehWjR48ucRsyVmWNU2WUod1GL1++jNzcXJiZmSE9Pb3Gb5NF92sfHx88fPiwxreLKpEgIYQQ169fFwCETCYTMplMyOVyAUBcv35dxMbGCn9/f5GWlia8vb3FV199JYQQYsuWLeLLL78UixYtEpMnTxaDBg0SEydOFE2aNBERERGiX79+okuXLiI8PFyEhYWJoKAgoVQqy1SfjIwMAUBkZGRUWBvz8/PFli1bRH5+foWVSWVT3WN/8uRJAUCcPHnSoPU4dztduE/Z/tQ/z+krRatvWwnP6SvLNL3u37nb6QZtoxBCdOzYUQCoEX9hYWFi8+bNwsPDo9zz/fjjj8LBwcHgbXjWP4VCIaKjo/XWXUmx8PDwEJs3by5xnEKhKDZtdHR0qWXoio6OLjZ/abEuaVoTExPh5eVV6jxlbVdZ6/GkttRkT4qNrpLiVNI2ZKzKGqfKKONp22hN3SZrWruq+3edmq6suQEvy/x/7u7uUKlU+OKLLzBx4kSo1WpoNBp4eHjAzs4OarUaNjY2WL9+PZydnfHo0SO0bt0aK1euBFB46ea2bdvQoUMHODk5YdasWRg1ahSuX7+OsWPHYty4cfjxxx9fqF/wiKi4l19+GcePHzd0NSR169bVe29jYwMA6Nu3L8zMzLB161ZERETAx8cHzs7OTyzLwsICAKBQKLB161b0798f7u7uMDc3L3e9tGVVxFUPcrkcVlZWAIAGDRrojbO3t0eLFi2k99pjdK9evVCvXj3MmzcPkydPBgDExMQgMjISPj4+OHz4MLKysnD48GH4+PggMjJSitPhw4exfv16AEC9evUgk8mwfv16HD58GPb29pg3bx7s7e1LLCMmJgYAMHnyZMybNw/16tXD6tWr0atXL716f/DBB5g6daq0jnSnTU5OxooVK2BiYoLExETI5XJMnToVV69e1ZsnPDz8qe2KiIjQK3vNmjWQyWR6n2V+fn7w8/ODTCbDnDlzirWlJnvaOi9pfa1YsQJr167FihUrim1DxqqscaqMMnRjP2LECMhkMnh4eMDW1hYA8M4779TIbbJouwCgdevWsLOzA1Bz20VVoIqSzRojLCxM7Nq1SwghhFKpFLGxseLjjz8Wtra2IjAwUNjb2wtnZ2dpmu+++04sWLBAREVFiblz54qzZ8+KgIAAsW7dOjFo0CBhbm4u3n33XeHo6Cj2799f5nrwzJ1xqe6x55m7qpGVlSWAwisEGjRooPcL7F9//SW99vPz0xt39OhR6fWePXuk17a2tnrTXbx4UXrdpUsX6fX169fFnTt3pPeWlpbS65SUlGK/Bvfp00d4enpK9QWgN7+Li4sIDg6W3qempkqvX3vtNeHm5ia9X7ZsmfQ6MTFR7xfne/fuSe+12yAAcfXqVSlOHh4eenW8dOlSiXUq+j4pKUl6nZ6eLlQqlXQWUTduqampQqFQCAcHB+Hg4CDkcrlwcHAQCoVCZGdnC0dHR6FQKEROTo7w8PAQoaGhQqPR6K3X/Px8YWlpKaysrER+fr5Qq9XStCqVSoSGhgpPT0+hVCqFh4eHcHR0FB4eHkKtVktlaDQaabqcnByhUCiEo6OjUKlUIicnRwAQZmZmenVSKpV66ygzM1MqT/sZgv8/g6d71YhSqRRmZmYCgMjKyiq1Xbm5udKVLHl5eXrtysnJESYmJkImk4nc3Fy9+ufn50uvddtY0+i2t2hsnrS+dI/3KpVKb30Zo7LG6UnbwrOWoVQqpdjn5eUJDw8P0adPHxETEyNycnKk2Ofm5taobbKkdmljo7tNVbd2VffvOjVdWXMD3nOnIz09Hbt27cL27dshhMCAAQPw8OFDuLm5oaCgALNmzUKrVq1Qq1YtAMCKFSuwcOFCZGZmQq1Ww87ODgqFAklJSbh69SoaNWoEExMTeHh4wMLCAt988w1atWoFe3v7YstWKpVQKpXS+8zMTACASqWCSqWqkPZpy6mo8qjsqnvsH+cWbnuXktNhcuOhweqR+CC70pdxKTkDarW60pdTkvEfDAIAdOoSgCOHDkjDPTw88MYbb0jvDx06pDffK6+8Ir0OCQmRXqelpQEATE1NoVKp0LFjR2ncmTNnpNe+vr6oV6+e9N7JyQnXrl0rrEunTgAKz2ilpKQAADw9PbFjxw7pygQA0r2YHTt2xPHjx9GhQwdp3KlTpxAUFIS4uDjcvn0bN2/elMaNHTtWamNoaCgAoEWLFrhw4QLWrVunV0ctbTsGDBiADRs2oG/fvtK4rl27Sq+DgoIAAM2bN8fFixel9wAQEBAgvZ46dSq+/PJL+Pv7Y/PmzXB1dZViFxoaCrVajX//+98oKChAVFSUNN3y5csxffp0REVFYcKECUhKSsK6deug0Wig0Wik8g8ePIjc3FzpNQBpWiEEoqOj0bVrVyxZsgRJSUlYvnw5RowYgf379+vVUzvdhAkToFarMXPmTAghMGHCBADAuHHjYGpqKtVpyZIl0DV58mR8+eWXUlkA0LNnT+zZswdLlizBmDFjABSeDR0zZgzmz5+PAQMGlNqupUuXQggh3QOl264//vhD6mxs6dKlGDNmjFT/gwcPSq+LtrEmOXjwYKmxAUpfX7rH+6LrS7sOjElZ4/SkbeFZy1iyZIkU+/j4eCQlJWHt2rXIyMiAEEKK/dKlS2vUNllSu7SxAVBt21Xdv+vUdGWNK5M7HfPmzcMbb7yB//73v5g6dSqsrKyknWnt2rVwcHDAzp07cfjwYRw9ehS//fYbIiMjERgYiJ49e2LKlCm4dOkSrK2t4eHhAaDwciBtcufs7AxTU9MSlz1nzhzMnDmz2PDdu3dLlxNVlLi4uAotj8quusY+4VwiAGDCz+dgHp9r4NpUrombzhls2XdPXQAAXJS56w2PjIzUS6S0mjVrhr///luvx968vLxi04WGhiImJgbZ2f9LjnV74Xz06JHee21iAwD37t0DAERERGDp0qUAgMuXLwMA9u3bp1cGADRq1AjHjx9HYmKiNG7nzp3o1q0b4uLicPfuXb26aT+MdNsYHh6OCxcu6JWv+6Gl/XGrQ4cO2LBhA65cuVKsHkBhBzEAEBYWhosXL0rvddsFAEeOHEFsbKzU7ocP//cDhrZsc3NzCCH04rNv3z5ERkZKZQDA7du39eYHgN9//10vFlraabWJn7a92ktOd+7cqbfOtNNpl2Vubo7Y2FjpvaenJ2JjY6X5deOn204AOHbsGAAgMDAQe/bswb59+9C4cWNpWm3nMWfPni21XbrlF22X7qXF2rK19d+5c6eUoBdtY02iXa8lxQYofX1paY/3uutLdx0Yi7LG6UnbwrOWod1Gzc3NpW00JSUFlpaWiIuL04u99rLymrBNltQu3dhU93ZV1+86NV1Ze9dmcvf/EhISsHTpUqxYsQI5OTk4e/YsgoKC8Mknn+DMmTNQq9UICQmBv78/mjdvjjfeeAO1atXC1atXce7cObi4uCA0NBSzZs2Ct7c3gMIdTaVSYc+ePUhLS0NwcHCx+1u0pk2bJv06CxR+uXF1dcWrr76KOnXqVEgbVSoV4uLiEBQUVGqSSZWjusfe1v4E5gJY+IYPmrd6yWD1SHyQXenJ14JIH3jVt67UZZRm/J8tcCDuBpqLGziiM3zTpk1wdXXFhQsX9Kb/+++/AQAmJiZSgmdhYVEswdu2bRsAwNraGo8fPwYAWFlZSa/t7OxQr149qXxbW1spgXF0dMSNGzewefNmqbwmTZpg9+7dCAwMlL6s2tnZ4d69e9IZPy8vL5w7V7iugoODMXfuXABAw4YN9RIw7VlF3TZu2bIFAPTK104HAHXq1EFaWhpOnDgBAPD29kZqaqpePQBI5W3dulXvvW67gMKzgr1795bOFNarVw937tzRK1upVEox1t6rExgYKMXa19cXp0+fhouLi3S2U8va2hoLFy6UYgEACxculKbVfvnXtldbZnBwsN4v7drptMtSKpXo3bs3fvvtN5w+fRrXr1/H+++/jzVr1kjlAZBiqG2ndtjp06elL4mBgYHSOAD48MMPARTew3Pjxo0S23X16lWp7KLtsre3l9qsLVtb/+DgYOk+y6JtrEm067Wk2AClr6+ix3vd9aW7DoxFWeP0pG3hWcvQbqNKpRLBwcFYuHAhGjRogIyMDAQFBeG7774DUBh7bRJUE7bJktqlGxvdbao6tau6f9ep6bQ/fD5VZV8fWlOkp6eLzZs3i2HDholu3boJa2trcezYMTFlyhSxa9cu4efnJ7Zv3y6Sk5OFh4eH2L59uxBCiJCQEOHq6iqio6OFp6eneP/998XQoUPFpUuXxP79+0XdunVFfHy8iI+PF2lpaWWuD++5My7VPfa8565q8J473nPHe+5qDt5zVza8567i8Z47KklZcwMmd0WoVCrRuXNn0bNnT73hc+fOFYGBgaJRo0biX//6l9BoNGLz5s3Czc1NzJo1S0yZMkVkZGSIf/zjH2Lp0qXirbfeEoGBgaJHjx6iR48eokuXLuLAgQNlrgeTO+NS3WPP5K7qVLfHINSpU0fvfd26dQUAER4eLiUAAERoaKhwdnZ+YlkWFhYC0O/+v2PHjsLc3Lzc9dKWJZPJnruNcrlcWFlZCQDFkmp7e3vRokUL6b22zUFBQcLR0VEAkLqy37x5s5DJZCI0NFQkJCSIzMxMkZCQIEJDQ6V6asetX79eABCOjo5CJpOJ9evXi4SEBNGhQwcBQHTo0KHEMrTdmkdHR0vzr1y5Urz66qt69X7//ffF5MmT9daRdto7d+6IZcuWSetBLpeLyZMni0uXLunNo30cwpPaVbTs1atXC5lMprfcLl26CD8/PyGTycTs2bOLtaUme9o6L2l9LVu2THzzzTdi2bJlxbYhY1XWOFVGGbqxHzZsmJDJZMLd3V36EWfAgAE1cpvUbdfw4cMFAOHj4yPs7Oyqbbuq+3edmo7J3TO6fPmysLOzE8eOHZOGqdVq8dlnnwkAYtasWUIIIQoKCsS+fftEXFycWLRokZgyZYp48OCBqFu3rrh165Z46aWXxPXr16UywsLCxLZt28pcDyZ3xqW6x57JXdWqbgnek/74nLunP+fO09OzzM+58/T0LPE5d9oydD3vc+7kcvlzPedOW6fyPueupLbUZE+KjS4+565scaqMMp62jdbUbbKmtau6f9ep6cqaG8iE+P87yAnXrl1DUFAQBg0ahBkzZkClUuHXX3/FZ599BkdHR7Rv3x6//PIL9uzZg6lTp2LIkCHo3r07Fi1ahJSUFDx69AiPHz/Gxo0b0a5dO9y/fx8KReFtjffv38emTZvKfL19ZmYm6tati4yMjAq95y42Nha9e/fmtdBVrLrH/s8//0T79u1x8uRJqVdEQzh/JwMhSw49dToTizuw9lyC7OujUZD35GevFbV9tB9aOdd91ipWmN9//x0BAQHw8vJCgwYNEBERgU8//RTZ2dmoXbs26tWrh9TUVNja2uLGjRvQaDQwNzfHoUOHMHjwYNy9excODg6oVasWUlJSYGFhgfv37yM3Nxd2dnY4dOgQoqOjkZiYCFdXVwCFHZB4eXnhP//5D4KDg5GUlAQzMzP07dsX3bt3h729PX799Vdcu3YN3t7emDdvHiwtLQFA6jExOTkZ1tbW+OKLL3Dz5k3Y2NggKioKu3fvRnZ2Npo0aSLNp1KpsG3bNtSpUwcPHjyAubk5RowYgYyMDNSuXRt2dnZITU1Fw4YNsW/fPvz1119ITk6GjY0NVq5ciWvXrsHd3R0NGjTAzZs34e3tjenTp2Po0KFITEyEm5sbhBC4desW3Nzc4OTkJE03a9YsrF27FomJiXBxccG1a9eQlJQktUsul2PZsmW4dOkSUlJS4OTkJHUycvPmTXh5eSEqKqrEZ5PqxsLJyQn+/v6Qy+UljuvcuTMSEhKKTfukMnTl5+dj2bJlSExMhJeXF4YMGYKPPvoIV65cKbaOdKf18PCAm5sbwsPDoVarER0dXeI8ZW1X0XoMGzYMR48eRXJyMhwcHAAUfs49qS01WXnW15IlS7Bv3z4EBgZi9OjRL9Tzbcsap8ooQ7uNXr58Gbm5uXjzzTeRnp5e47fJovu1j48PHj58WC3bVd2/69R0Zc0NmNz9v5s3b6Jt27Z48803sWzZMshkMoSFheHq1auYPn063nzzTQDAjBkzsGjRIiiVSuzatQsBAQGYPXs2/vrrL1y+fBnbt2+Ho6MjevToge+++w4uLi4ACnuHGzx4sPTQ2KdhcmdcqnvsmdxVveoS88pU3bd7Y8bYGw5jb1iMv+Ew9pWrrLkBe8v8f25ubtizZw/atm0rDVu3bh1q1aoFExMTadiMGTPQr18/nDt3TuqVSNvrmK69e/fqvdf2DkdUHTVr1gwnT55Es2bNDF2VFwZjTkRERBWNyZ0O3cQOQKlZcevWrdG6deuqqBJRlbCysjLas0fVFWNOREREFc3k6ZMQERERERFRdcfkjoiIiIiIyAgwuSOiasPW2gzmiqcfloS6NpQPekCoa5erfHOFCWytX5ye64iIiOjFwnvuiKjacLaxxL5J3ZCWnV+Gqcv2WBG1Wo1Dhw7Bz88P9etawdmmeBfwRERERMaAyR0RVSvONpYVmoCpVCrcqAW0bFiHXTMTERGRUeNlmUREREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREZAYegKEFHNcyc9F2nZ+YauRpmo1Wrcegz8dTcTCkX1OOTZWpvB2cbS0NUgIiIiI1M9vukQUY1xJz0XgfMPQKkuMHRVSiVTZMLU5ihU6Z0g1HUAKDD/3BFDV0tirjDBvkndmOARERFRheJlmURULmnZ+dU6sQMAmSIL5vX3QqbIMnRVSqRUF9SYM59ERERUczC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiI5WTk4M///wTOTk5hq4KkUFwHyAiohfNC5ncKZXKMk/7+PFjqNVqqNVqPH78WG9cXl4eNBqN9L6goAC5ubnS+7Nnz8Lb2xtpaWnPX2micvr777/Rvn17/P3334auCpFBGMs+oNFocODAAWzcuBEHDhzQ+9whIiLSZbTJXXp6OmQyGTIzM/WGX79+HR4eHsjIyCg2z3vvvYeFCxcCKEzchBB4/fXXkZCQgEOHDqFXr17SOAAYPHgw3N3dYWFhARsbG9SvXx+enp5SebNnz8bw4cPx9ddf4/Tp05XUUiIiMlYxMTFo3LgxunfvjgEDBqB79+5o3LgxYmJiDF01IiKqhow2uTM3NwcA1K5dW2+4p6cnOnfuXGKyZWtrC1tbWwBAaGgo2rRpgxMnTuCDDz7ABx98gDNnzqBNmzZo3749AOCHH37A7du30aFDB8yfPx8LFixASkoKAGD37t149OgRJkyYAC8vL0RERCA9Pb3yGkxEREYlJiYGkZGR8PHxweHDh5GVlYXDhw/Dx8cHkZGRTPCIiKgYo3zOnfasG1B4qaQQAmPHjsXWrVulad555x3p9cWLF2FqagqZTIacnBxkZmbi22+/hRAC48aNw4gRI1BQUIDvvvsOn3/++VOXf+nSJbz55pvw9fVF7969cePGDdy+fRvDhg3Djz/+WPENJiIio6LRaDBx4kSEhIRgy5YtMDEp/C3W19cXW7ZsQXh4OCZNmoSwsDDI5XID15aIiKoLo0vulEolXFxcpA87Nzc3jBw5Eqmpqfjss88wePBgadq8vDxYWlri7NmzGD16NC5fvgwHBwekp6dj7ty5eOWVVwAA8+bNk+b55z//id27d0Oj0eBf//oXVq1ahezsbFy/fh0ymQzvvfce7ty5g1GjRqFBgwbo2bMnrKysYG1tjXv37j2x3rr3AmovJ1WpVFCpVBUSG205FVUelZ0hYv84t3B7upScDpMbDyus3MQH2RVW1ovsUnIG1Gq1oatRqdRqNW49Bs7cfASFouo/bi4lpwMo3Bdq2nHv4MGDSEpKwrp166DRaIrdZxcdHY2uXbti//79CAgIKDY/j/eGw9gbFuNvOIx95SprXI0uuTM3N0dqaipWr16NoUOH4s6dOwCA+fPn690PBwByuRz9+/dHly5dcOLECdSvXx+ffPIJBg8ejI0bN2Ly5MlYu3YtrK2tAQDZ2dl49913ce/ePQghYGZmhqioKMTFxWHIkCFQKBQYPnw4bG1tkZeXh19++QUjR45EdHQ0jh49ikWLFpVa7zlz5mDmzJnFhu/evRtWVlYVGCEgLi6uQsujsqvK2CecSwQATPj5HMzjc58yNVW1iZvOGboKVUQBnDthkCUrU64CAHbsP4y01PsGqcOz+v333wEAt2/fxsOHxX+c0XbetXPnTmRnl/6DC4/3hsPYGxbjbziMfeUoa8/PRpfcaa1duxYA8Pnnn2PChAkYNWqUdFmLllwux9KlSwEUbohpaWn44osv8ODBA3z00UeYOHEirK2tkZ2dDRMTE1haWuJf//oXWrduDRMTE8jlcmg0GuTn5+uVu3TpUqSlpSE8PBxHjhzB/PnzcejQIXzyySfYvHkzLC0ti9V32rRpmDBhgvQ+MzMTrq6uePXVV1GnTp0KiYlKpUJcXByCgoJgampaIWVS2Rgi9rb2JzAXwMI3fNC81UsVVm7ig+wXKDGpPAsifeBV39rQ1ahUarUaR44cga+vr0HO3F08b4kB3wF9ur+CV17uUOXLfx7W1tZYuHAhXFxc0KlTp2Ljjxw5AgAIDg4u9cwdj/eGwdgbFuNvOIx95SraSWRpjDK5279/v5RwHT58GIsXL0ZKSgp++OEHmJmZ4c6dO3B0dIRcLoelpSX++usvzJgxA7169UJwcDD+/PNPTJw4EX369MFnn32GJUuW4PTp02jYsCE++eQT6b47ExMTnD9/Hu7u7qhduzZWrFgBtVqNCRMmICUlBd7e3vDz84ONjQ3kcjm2bNkCMzOzEutsbm4udQKjy9TUtMJ3kMook8qmKmNfy7Jwe2rqZIM27vUqrFxDfEk3Rk2d6qKVc11DV6NSqVQq3DkPvORmZ5BjTsFDGwCF+0JNO+Z1794dHh4emDt3rt49d0DhveTz5s2Dp6cnunfv/sR77ni8NxzG3rAYf8Nh7CtHWWNqdL1lZmdnY+TIkZg6dSoAYMGCBfD09MTChQtx9+5dJCUlwcvLC4cOHcKNGzfw999/Y8OGDXB0dETLli1Rp04dfP311wgPD0ebNm3g5OSErl27YurUqejYsSOAwg9WAJDJZHBwcMD48eMRGRmJBQsWQC6XQyaTYdSoUejfvz/WrFmDt956C9euXSs1sSMiItIll8uxYMECbN++HeHh4Xq9ZYaHh2P79u2YP38+O1MhIiI9RvcT/PHjx9G8eXOEhIQAABo3bozGjRs/cZ7IyEgEBARgyZIlAAo/VN944w1069YNP/74IyZNmoSBAwdi4sSJsLS0lC6rLCgowNatW3H8+HGpLJVKhSVLlkiXI8lkMvzyyy96vXMSERE9Tb9+/bBp0yZMnDgRnTt3loZ7enpi06ZN6NevnwFrR0RE1ZHRJXfdunVD165di90H9yRWVlZwd3fXGxYbG4smTZpg5syZmD17Nuzs7NCrVy8MGzYMbdu2RZ8+fSCEwNChQzFjxgxpPgsLCwwZMgQDBw7EoUOHEBAQAI1Gg+XLl1dUE4mI6AXRr18/hIWFIT4+HsnJyXBycoK/vz/P2BERUYmMLrkDCu+Fy8vLA1B4dk33XgWVSiWNK0qtVkuXXAYGBuL7779HQkICvvrqK0yZMgVCCHzzzTcYPnw4AgMDoVKpsGzZMmzatEkqIz8/HwqFArVq1YJGo0FGRgZq1aqFK1eu4KWXKq5TCyIiejHI5XJ069bN0NUgIqIawCiTOwDIysoCUPgsO+2jBM6dO4eXXnoJjRo1gr29fbF50tPTpe6l09LSMGfOHDRv3hze3t5o2rQpXn75ZVhaWuLUqVMwMTGBSqVCVFSU3pm7119/HRcuXMDs2bNx5coVHD9+HAkJCejRowciIiKwZMkS3ntHVaJZs2Y4efIkmjVrZuiqEBkE9wEiInrRGG1y5+rqCiGE3jAfHx9cunQJXl5exR6LAADffvut9Hry5MnS64SEBL379rTzzpo1q1gZv/76Kx4/foywsDC8/fbbUCgU8PDwQEBAAE6fPs3EjqqMlZUV2rVrZ+hqEBkM9wEiInrRGG1yVxpvb+9yz/O0DlmKqlWrFgYNGqQ3zNnZGc7OzuVeNhERERERUVkY3aMQiIiIiIiIXkRM7oioXGytzWCuqN6HDqGuDeWDHhDq2oauSonMFSawteYl2kRERFSxXrjLMono+TjbWGLfpG5Iyy7740YMozeAwl5wDx06BD8/PygU1eOQZ2ttBmcbS0NXg4iIiIxM9fimQ0Q1irONZY1JTlQqFW7UAlo2rANTU1NDV4eIiIio0lTva6uIiIiIiIioTJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBJjcERERERERGQEmd0REREREREaAyR0REREREZERYHJHRERERERkBBSGrgARGbc76blIy8432PLVajVuPQb+upsJhaJyDnm21mZwtrGslLKJiIiIyorJHRFVmjvpuQicfwBKdUGFlitTZMLU5ihU6Z0g1HXKMIcC888dqdA66DJXmGDfpG5M8IiIiMigeFkmEVWatOz8Ck/sAECmyIJ5/b2QKbIqvOxnoVQXGPTsJBERERHA5I6IiIiIiMgoMLkjIiIiIiIyAkzuiCpQTk4O/vzzT+Tk5Bi6KkQ1FvcjIiKiZ/NCdKiSlpYGW1vbUsfn5eXB1NQUcrkcAFBQUAClUglLy8LOEc6ePYuIiAgcO3bsieVo7dq1C40bN4aXl1fFNIBqjL///hvt27fHyZMn0a5dO0NXh6hG0u5HAQEBePToERo2bIi//voLaWlpsLOzQ4sWLXD37l24urpCJpPh+vXrSE5OhoWFBTw8PBAaGoq7d+/CxcUF165dQ1JSEry9vTFv3jwAQHR0NK5cuQIPDw8AQFJSEho1aoTXX38djx49woMHD1C/fn04OzvD398fcrkc+fn5WLZsGRITE+Hh4QEfHx88fPgQTk5O8Pf3BwDEx8cjOTlZGqb9TAEAjUbzxPHloVsXLy8vREVFwczMrFzzubm5AQBu3rxZYhkVWV8iIqo61Tq569GjBw4cOACZTPbE6QoKCjBq1Ch8+eWXxcadOnUKr776Kv766y84ODiUOP/gwYNx6NAhpKamwsLCAnK5HKampkhJSQEAzJ49G8OHD8fXX3+Nnj17ok2bNk+sz8qVK2Fvb49Vq1aVraFERCQZNGgQAODgwYMAgHPnzknjsrOzcevWrWLDtZKTk3H48OFiw3fv3o2lS5c+cbkrVqwoNszDwwMvvfQSduzYAbVaXeJ89evXh0wmw/379/XmW7BgAfr164eYmBhMnDgRSUlJJY4vj8mTJ2PRokV6dYmOjsb48eMxd+7ccs2nS7eMiqwvERFVrWp9WaapqSl+/PFHqNVq6e/IkSM4duyY3rBPPvmk1OdXtW3bFv369cOpU6dKXc4PP/yA27dvo0OHDpg/fz4WLFggJXa7d+/Go0ePMGHCBHh5eSEiIgLp6enSvPPmzYOjoyM8PDykv8OHDyMmJkZ637BhQ9SqVatCY0NEZIxefvllXLhwAQDKdaaotB8BraysAAA2NjbFhsnlcmk+c3NzaXybNm0QHBwMAMjNzcXWrVthbW2NESNGAABat24NOzs7AIC/vz8ePHiA+/fvY86cOcjKysLhw4fh4+ODyMhITJ48GZGRkfDx8cHhw4eLjY+JiSlzGydPnox58+ahXr16WL16NZKTk7F69WrUq1cP8+bNw+TJk586X69evQAAtWvXRp06hY8R6dWrl1RGeHh4hdWXiIiqXrVP7orauHEjNm/eXGy4Nrl7//33YWNjo5ds7dq1C8OGDdMbZmZmhl27dj1x+ZcuXcKbb74JExMT9O7dGx999BFu376NYcOGSdMUFBSgf//+SEpKwuXLlzFjxgzcunULqampuHTpEiZNmoQbN27g8ePHzxkNIiLj9vjxYxw/flxKuDQaDQDgzp07T5xPJpNBCIF69eoVG3fz5k04ODggPT0dpqamMDExQU5ODszMzJCVlQUXFxfIZDIolUr06tULZmZmOH36NH7++Wf06dMH9+7dg5mZGWxsbBAbG4vQ0FCcOnUK9+7dg6OjI+Lj49G7d2+EhIRg1apVsLS0hK+vL7Zs2YI+ffpg0aJF6NOnD7Zs2QJfX1/UqlVLGh8SEoJJkyZJ7XyS/Px8LFq0CI6Ojrh9+zb++c9/okGDBvjnP/+J27dvw9HREYsWLUJ+fn6p8127dg179+6Fo6MjHj16hIcPH8LR0RF79+7FtWvX4ODggK1bt6J3797PXV8iIjKMan1ZpvZX2yFDhmDz5s0wMTFBXl4eAGDp0qUoKCjA0KFDUatWLZiYFOapCoUC48aNwyeffCINK0qtVqNNmzZS+R9//DFWrVqF7OxsXL9+HTKZDO+99x7u3LmDUaNGoUGDBujZsyesrKxgbW2Ne/fu6ZUnk8mQm5sLjUaDIUOG4B//+AeAwi8mo0ePxgcffIC8vDxYWFiU2lalUgmlUim9z8zMBACoVCqoVKpnCV8x2nIqqjwq7nFu4Tq8lJwOkxsPpeFqtRq3HgNnbj4q9SyzMUp8kG3oKlSZS8kZpV7y9qIq73Y//oPCyzG7dO+BQ/v2AABatGiB4cOHAyi8NFB7qaA2obOwsEDz5s1x6tQpuLi4wM7ODleuXIGFhQXy8vIQGhqKZs2a4f79+/Dz88OjR49w5swZtGjRAn/88Qdu3bqFHj16YO/evbCyssKYMWMwf/58TJo0CZ6engCAfv364YcffgAArF+/Xkpu3n77bSxevBheXl5444030LVrV+zfvx8BAQEAgKCgIGzfvh1BQUHQaDTFkqLo6Ohi85RmyZIlUKvVmDlzJoQQxY7j06dPR1RUFJYsWYIxY8ZI45cuXSrNt3z5cr0ydOdbvnw5BgwYgMWLF6NRo0bPXd8XGT9rDYvxNxzGvnKVNa414lvmypUrsWbNGsjlckydOhUWFhaYMWMGCgoKoFarMXv2bGnajz76CHfv3oWZmRmsrKxgYmIi/ZJpZmYGtVqNvLw8/PHHH2jevLk0PCoqCnFxcRgyZAgUCgWGDx8OW1tb5OXl4ZdffsHIkSMRHR2No0ePYtGiRdLyhBCQy+Xo0aOHlJBpO9LQfnh27NgRSqUSx48fly6DKWrOnDmYOXNmseG7d++WLiGqKHFxcRVaHv1PwrlEAMCEn8/BPD63yFgFcO5E1VeKqsTETcXv/yKgPNv93VOFl2NesG4LoDC5Cw8Px4YNGwAAERERWLBgAYDCyyjz8vKg0Wikzq9SU1Ol46W1tTXy8vJw5coV6X5rbWdZQGFHWjt37gQANGjQAABw9epV9OzZEwBw5MgRaT5t+QBw+/ZtPHxY+MONtjfPS5cuSWcXd+7ciezswh81rly5Iv2PjY0t1t7c3Nxi85Rm3759UrtLKkv74+G+ffvQuHFjabj2vkVzc3P8+uuvxcrQnc/FxUVqz/PWl/hZa2iMv+Ew9pWjrD1I14jkrrRewExMTIqNc3Nzg5ubm94v6KNGjYK9vT1mzJhRYjlyuRwajabY5SxLly5FWloawsPDceTIEcyfPx+HDh3CJ598gs2bN8PS0lLqaTMhIQE5OTmwtrbGpk2bABReDtOyZUucPn261LOIWtOmTcOECROk95mZmXB1dcWrr75aakJYXiqVCnFxcQgKCirxkld6frb2JzAXwMI3fNC81UvScO39or6+vi/cmbsXJelZEOkDr/rWhq5GtVLe7X78ny1wIO4GWmSfwqH/H7Zlyxa0bt0aN27c0LskX5ukyeVyKemwt7eXPvy0yYe3t7d0vDMxMZHurbOwsEBwcDAWLlwo3WPduHFjXL9+HQCkOu/evVsqHwBcXFzQqVMnAMCBAwcAAE2bNoWzszMAIDg4WDqrdePGDakOvXv3LtbeI0eOFJunNFevXkVsbCyUSmWJZa1ZswYAEBgYiN69e0vH+4CAAGm+wMDAYmXoznf79m2pPc9b3xcZP2sNi/E3HMa+cmlPIj1NjfmW6eXlhQcPHkhJ0sKFC2FpaVnsEkmtjh074ssvv8Qrr7xSbJwQAhqNRvqyYWJigvPnz8Pd3R21a9fGihUroFarMWHCBKSkpMDb2xt+fn6wsbGBXC7Hli1bpKQyOzsb9evXB1B4mdDIkSOxePFiaVkjR46EWq1+ajfV5ubmejf0a5mamlb4DlIZZVKhWpaF67Cpkw3auP/v/h+VSoU754GX3OxeqNi/SIlsU6e6aOVc19DVqFbKu91vi/kJtWvXxh/790rDLly4gLi4OGzbtk2v90btlRF5eXk4ffo0AP2zatpL+Ldt24YWLVoAAA4dOiRdanjhwgV06dIFrq6u0lmxnJwcqdfl+fPno3///gCAmJgYuLu7AwDmzp2LLVu2oKCgABs3bgQAJCYmYu7cufD09ET37t0hl8tRUFCAuLg4KBQKxMXFYdSoUXo/8hUUFGDevHl68zzJ6NGjMXXqVEyfPh3vv/++3r6lvdRSoVBg9OjRerEeOXIkPvroI0yfPh3Xrl3TKwOANN+IESOky1CvXbsGuVz+XPUlftYaGuNvOIx95ShrTKt1hyq6TE1NcezYMaSnpyM9PR3Hjh0rNWH666+/cOnSJfj4+EjD5s6dC3t7e9jb26N27dp6l3LKZDI4ODhg/PjxiIyMxIIFC6Re1EaNGoX+/ftjzZo1eOutt3Dt2jW95aakpKBhw4aYNm0aWrVqhR07duDQoUPS32+//YaPPvqo8gJDRGQkatWqhY4dO0qJmzaB0J4VK40QAjKZTErsdLm5ueH+/fuwsbGBSqVCQUEBrKyskJ+fj9q1a+P27dsQQkidbOXn5+Oll17CG2+8gR07dsDR0RH5+flIT09HcHAwtm3bhjZt2sDR0RH37t2Dv78/YmNjsX37dnzwwQfIycnB4cOHER4ejh07dmD8+PHYsWMHwsPD9XqfDA8Px/bt2zF//vwyJUpmZmYYP3487t27BxcXF6xatQp3797FqlWr4OLignv37mH8+PHFPhd152vUqBECAwNx79492NnZwc7ODvfu3UP37t3RqFEj3L9/H2FhYYiNjX3u+hIRkWHUmJ/Vn3ZZo661a9dKzx3Smjx5cqmXZRYUFGDr1q04fvy4NEylUkk3sB85cgQymQy//PIL3nnnHb15r169ivfffx8DBw7Ep59+is6dO+Pf//43XnvtNRw5cgRvvfUWpk6dWr7GEhG9oI4dO4aWLVviwoUL5eqVUZsQFqW9TFP3ETbaYbrl616Wf+bMGZw5cwZA4WMTwsLCsGPHDuk5eLrP14uPj5fuzfvwww/x4YcfAgA8PT2xadMm9OvXD76+vpg4cSI6d+4szac7vqy0z7FbtGiRXq/NCoUC0dHRpT7nTne+3bt3AwCysrKk8dozjNoytM+5e976EhFR1avWyZ3ufXPm5ubw9fXVG6/7UPKCggIAhd1eL1++HL169cJrr71W4mMTihJCYOjQoXrJn4WFBYYMGYKBAwfi0KFDCAgIgEajwfLly6VpMjMzcfr0abRv3x5A4Qfsf//7X/Tq1QsTJkzAf/7zH/z0008lds9NREQlW7duHdq3b4+AgAA8evQIDRs2xF9//YW0tDTY2dmhRYsWuHv3LlxdXSGTyXD9+nUkJyfDwsICHh4eCA0Nxd27d+Hi4oJr164hKSkJ3t7emDdvHoDCXh+vXLkCDw8PAEBSUhIaNWqE119/HY8ePcKDBw9Qv359ODs7w9/fH3K5HPn5+Vi2bBkSExPh4eEBHx8fPHz4EE5OTvD39wdQmOglJydLw7RnuPr164ewsLBSx5fH3Llz8dlnn0l18fLyQlRU1FMv/S86n5ubG4DCz8yiZVRkfYmIqGrVmOTuSQ8h106bm5uLQYMGITIyEt999x0mTJiAFi1aoH79+mjfvj1+//131KpVC0IIpKWlQaPRoFevXlCpVFi2bJnUEQpQ+CuuQqFArVq1oNFokJGRgVq1auHKlSt46aXCjjK+/fZb+Pn5oXbt2gAKb/C/desW3N3dMX78eLz88su4du0a6tatCycnpwrrGIWI6EWwcOFCqffhivTVV1+Vex4zMzOMGzfuidN069at1HFyufyJ4yu6Ls87X0XWl4iIqk61vudOpVKhf//+UCgUT/z797//DbVajeXLl+POnTv4z3/+A6Dwi8GPP/4IHx8fxMfHo0ePHmjfvj06dOggPX9Iu5yoqCicP39e+gsJCcGFCxcQGRmJ6dOn4/jx45g1axZ69OiBYcOGIT8/H48fP8bo0aPx888/o3Xr1mjWrBm++eYbREdHIz09HePHj8fOnTsRGhoKGxsbjB492pDhpCrQrFkznDx5Es2aNTN0VYhqLO5HREREz6Zan7n74YcfUKtWLb1nDD3Nu+++CxsbG+l9jx490KNHDwCFl18qlUqo1Wq9ZyPNmjWrWDm//vorHj9+jLCwMLz99ttQKBTw8PBAQEAATp8+DTMzM+neCqVSiS5duqBhw4Z6ZfTv31/qbS0nJ6fUe0LIeFhZWVXKmQaiFwn3IyIiomdTrZM77SMGyuNJ97fJZDLpga1lUatWLQwaNEhvmLOzc7Ge28zNzYsldkVV9IPIiYiIiIiIdFXryzKJiIiIiIiobJjcEVGlsbU2g7mi4g8zQl0bygc9INS1K7zsZ2GuMIGt9ZN7KyQiIiKqbNX6skwiqtmcbSyxb1I3pGXnP33icutdpqnUajUOHToEPz8/KBSVc8iztTaDs03Z7w0mIiIiqgxM7oioUjnbWBo08VGpVLhRC2jZsA5MTU0NVg8iIiKiysbLMomIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwEchVFNCCABAZmZmhZWpUqmQk5ODzMxMdglfxRh7w2HsDYexNxzG3nAYe8Ni/A2Hsa9c2pxAmyOUhsldNZWVlQUAcHV1NXBNiIiIiIioOsjKykLdunVLHS8TT0v/yCAKCgpw9+5d1K5dGzKZrELKzMzMhKurK27duoU6depUSJlUNoy94TD2hsPYGw5jbziMvWEx/obD2FcuIQSysrLQsGFDmJiUfmcdz9xVUyYmJnBxcamUsuvUqcOdzkAYe8Nh7A2HsTccxt5wGHvDYvwNh7GvPE86Y6fFDlWIiIiIiIiMAJM7IiIiIiIiI8Dk7gVibm6O6dOnw9zc3NBVeeEw9obD2BsOY284jL3hMPaGxfgbDmNfPbBDFSIiIiIiIiPAM3dERERERERGgMkdERERERGREWByR0REREREZASY3BERERERERkBJncvsNdeew3ffvutoavxwti6dSsaNWoEhUKBNm3a4OLFi4auktE7f/48OnbsCFtbW0RHR4P9R1Udbu/VA4/zhjFlyhSEhoYauhovlDVr1sDV1RVWVlbo1q0brl27ZugqGb3U1FR4enoiKSlJGsbPXcNjcveC2rBhA3bt2mXoarwwEhMTMWTIEHz++ee4c+cOmjRpgn/+85+GrpZRUyqVCA0NRfv27XHixAlcuHCBX3KrCLf36oHHecM4e/Ysli1bhv/85z+GrsoLIzExEf/+97+xdetW/P333/Dy8sLgwYMNXS2jlpqaipCQEL3Ejp+71QOTuxfQo0ePMHHiRDRt2tTQVXlhXLx4EZ9//jnefPNNODo6YsSIETh16pShq2XUdu7ciYyMDCxcuBBeXl6YPXs2vv76a0NX64XA7d3weJw3jIKCAgwdOhTjx49Ho0aNDF2dF8apU6fg6+uLdu3awc3NDe+99x6uXr1q6GoZtbfeegsDBgzQG8bP3epBYegKUNWbOHEi+vbti9zcXENX5YUREhKi9/7SpUvw9vY2UG1eDGfOnIGvry+srKwAAK1bt8aFCxcMXKsXA7d3w+Nx3jBWrFiBc+fOYejQofj111/x2muvwczMzNDVMnotWrTAvn37cPr0aXh6emLZsmUICgoydLWM2urVq+Hp6YmxY8dKw/i5Wz3wzJ0RCg8Ph42NTbG/r776Cvv378fevXsxd+5cQ1fTKD0p9lr5+flYsGABhg8fbsCaGr/MzEx4enpK72UyGeRyOdLS0gxYqxcPt/eqx+O8YTx+/BjTp09Ho0aNcOPGDSxatAh+fn5MsKtAixYtEBkZibZt28LGxgaHDx/G/PnzDV0to6b7+arFz93qgWfujNDKlStL/DCxs7NDhw4dsHz5ctSuXdsANTN+T4q91vTp02Ftbc17kCqZQqGAubm53jALCwvk5OTA1tbWQLV68XB7r1p5eXkYNmwYj/MGEBMTg+zsbOzfvx/29vZQq9Xw8fHBunXrMHToUENXz6gdO3YM27Ztw5EjR9CsWTPMnTsXvXv3xrFjxyCTyQxdvRcGP3erByZ3RsjR0bHE4R999BE6duyIPn36VHGNXhylxV5r3759WLp0KY4cOQJTU9MqqtWLyc7ODufPn9cblpWVxUukqhC396r36aef8jhvILdv34avry/s7e0BFH7Rbd26Ne/9qgIbN27EW2+9hU6dOgEAPvvsMyxfvhxnzpxBmzZtDFu5Fwg/d6sHJncvkO+//x4PHjyAjY0NACAnJwc//fQTjh07hmXLlhm2ci+A69ev4+2338bSpUvRokULQ1fH6HXs2BGrV6+W3l+/fh1KpVLvLCpVHm7vhsHjvOG4uLgUu3Ljxo0b6Ny5s4Fq9OIoKChAamqq9D4rKws5OTnQaDQGrNWLh5+71QOTuxdIfHw81Gq19H7SpEnw9fVld8FVIDc3FyEhIQgLC0Pfvn3x+PFjAIC1tTUvGakkXbt2RWZmJtauXYshQ4Zg9uzZ6NmzJ+RyuaGrZvS4vRsOj/OG06dPH4wePRorVqxASEgIYmJicObMGfz888+GrprR8/f3x7vvvot27drB0dERa9asQYMGDdC6dWtDV+2Fws/d6oHJ3QvExcVF732tWrVgb28vXUJClWf37t24cOECLly4UOxXLQ8PD8NVzIgpFAqsWbMGb7/9NqKjo2FiYoIDBw4YulovBG7vhsPjvOHUq1cPsbGxmDRpEiZMmAAnJyf89NNPcHV1NXTVjF5ERAQuXryIxYsXIzk5Ga1atcIvv/zCy8GrGD93qweZ4KPjiciIpaSk4OTJk/D19UW9evUMXR0iIiKjxs9dw2JyR0REREREZAT4nDsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIjwOSOiIiIiIjICDC5IyIiIiIiMgJM7oiIiIiIiIwAkzsiIiIiIiIj8H906wpLbGE3WgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_normalized.iloc[45:60]# 绘制箱线图，检查每个数值特征的离群值\n",
    "plt.figure(figsize=(10, 6))\n",
    "wine_data[numerical_features].boxplot(grid=True, vert=False, patch_artist=True)\n",
    "plt.title('数值型特征的箱线图', fontsize=16)\n",
    "plt.savefig('./图片/数值型特征的箱线图.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a320517b",
   "metadata": {},
   "source": [
    "## 描述性数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 475,
   "id": "897f210c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "数据的描述性统计信息：\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
       "      <th>总二氧化硫</th>\n",
       "      <th>密度</th>\n",
       "      <th>PH值</th>\n",
       "      <th>硫酸盐</th>\n",
       "      <th>酒精</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.329291</td>\n",
       "      <td>0.279234</td>\n",
       "      <td>0.271342</td>\n",
       "      <td>0.112327</td>\n",
       "      <td>0.125982</td>\n",
       "      <td>0.209642</td>\n",
       "      <td>0.143110</td>\n",
       "      <td>0.490213</td>\n",
       "      <td>0.449668</td>\n",
       "      <td>0.196468</td>\n",
       "      <td>0.311476</td>\n",
       "      <td>0.527318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.154193</td>\n",
       "      <td>0.122692</td>\n",
       "      <td>0.194741</td>\n",
       "      <td>0.096636</td>\n",
       "      <td>0.078642</td>\n",
       "      <td>0.147422</td>\n",
       "      <td>0.116308</td>\n",
       "      <td>0.138697</td>\n",
       "      <td>0.121597</td>\n",
       "      <td>0.101508</td>\n",
       "      <td>0.163999</td>\n",
       "      <td>0.161593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.221239</td>\n",
       "      <td>0.184932</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.068493</td>\n",
       "      <td>0.096828</td>\n",
       "      <td>0.084507</td>\n",
       "      <td>0.056537</td>\n",
       "      <td>0.406021</td>\n",
       "      <td>0.370079</td>\n",
       "      <td>0.131737</td>\n",
       "      <td>0.169231</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.292035</td>\n",
       "      <td>0.273973</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>0.089041</td>\n",
       "      <td>0.111853</td>\n",
       "      <td>0.183099</td>\n",
       "      <td>0.113074</td>\n",
       "      <td>0.490455</td>\n",
       "      <td>0.448819</td>\n",
       "      <td>0.173653</td>\n",
       "      <td>0.276923</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.407080</td>\n",
       "      <td>0.356164</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.116438</td>\n",
       "      <td>0.130217</td>\n",
       "      <td>0.281690</td>\n",
       "      <td>0.197880</td>\n",
       "      <td>0.570668</td>\n",
       "      <td>0.519685</td>\n",
       "      <td>0.239521</td>\n",
       "      <td>0.415385</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              固定酸度        挥发性酸度          柠檬酸           残糖          氯化物  \\\n",
       "count  1596.000000  1596.000000  1596.000000  1596.000000  1596.000000   \n",
       "mean      0.329291     0.279234     0.271342     0.112327     0.125982   \n",
       "std       0.154193     0.122692     0.194741     0.096636     0.078642   \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%       0.221239     0.184932     0.090000     0.068493     0.096828   \n",
       "50%       0.292035     0.273973     0.260000     0.089041     0.111853   \n",
       "75%       0.407080     0.356164     0.420000     0.116438     0.130217   \n",
       "max       1.000000     1.000000     1.000000     1.000000     1.000000   \n",
       "\n",
       "            游离二氧化硫        总二氧化硫           密度          PH值          硫酸盐  \\\n",
       "count  1596.000000  1596.000000  1596.000000  1596.000000  1596.000000   \n",
       "mean      0.209642     0.143110     0.490213     0.449668     0.196468   \n",
       "std       0.147422     0.116308     0.138697     0.121597     0.101508   \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%       0.084507     0.056537     0.406021     0.370079     0.131737   \n",
       "50%       0.183099     0.113074     0.490455     0.448819     0.173653   \n",
       "75%       0.281690     0.197880     0.570668     0.519685     0.239521   \n",
       "max       1.000000     1.000000     1.000000     1.000000     1.000000   \n",
       "\n",
       "                酒精         质量评分  \n",
       "count  1596.000000  1596.000000  \n",
       "mean      0.311476     0.527318  \n",
       "std       0.163999     0.161593  \n",
       "min       0.000000     0.000000  \n",
       "25%       0.169231     0.400000  \n",
       "50%       0.276923     0.600000  \n",
       "75%       0.415385     0.600000  \n",
       "max       1.000000     1.000000  "
      ]
     },
     "execution_count": 475,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算并显示每列的描述性统计信息\n",
    "description = data_normalized.describe()\n",
    "print(\"\\n数据的描述性统计信息：\")\n",
    "description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 476,
   "id": "038ffd47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 为了更好地展示描述性统计数据，可以通过小提琴图或者箱线图展示某些列的数据分布\n",
    "# 质量评分的平均酒精含量\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.barplot(x='质量评分', y='酒精', data=data_normalized, errorbar=None)\n",
    "plt.title('不同质量评分下的平均酒精含量', fontsize=16)\n",
    "plt.xticks(rotation=30)\n",
    "plt.savefig(\"./图片/不同质量评分下的平均酒精含量.jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 477,
   "id": "c205a01c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 某些关键数值列的分布（例如密度与质量评分的关系）\n",
    "plt.figure(figsize=(6,4))\n",
    "sns.boxplot(x='质量评分', y='密度', data=wine_data_clean)\n",
    "plt.title('密度与质量评分的关系', fontsize=16)\n",
    "plt.xticks(rotation=30)\n",
    "plt.savefig(\"./图片/密度与质量评分的关系.jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73507bcd",
   "metadata": {},
   "source": [
    "## 回归预测分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 478,
   "id": "85e225de",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c748ea8",
   "metadata": {},
   "source": [
    "### 建立回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 479,
   "id": "f8300568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
       "      <th>总二氧化硫</th>\n",
       "      <th>密度</th>\n",
       "      <th>PH值</th>\n",
       "      <th>硫酸盐</th>\n",
       "      <th>酒精</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>0.477876</td>\n",
       "      <td>0.321918</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.089041</td>\n",
       "      <td>0.130217</td>\n",
       "      <td>0.352113</td>\n",
       "      <td>0.197880</td>\n",
       "      <td>0.685022</td>\n",
       "      <td>0.346457</td>\n",
       "      <td>0.179641</td>\n",
       "      <td>0.276923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1490</th>\n",
       "      <td>0.274336</td>\n",
       "      <td>0.287671</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.068493</td>\n",
       "      <td>0.128548</td>\n",
       "      <td>0.309859</td>\n",
       "      <td>0.498233</td>\n",
       "      <td>0.461821</td>\n",
       "      <td>0.409449</td>\n",
       "      <td>0.155689</td>\n",
       "      <td>0.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>0.221239</td>\n",
       "      <td>0.130137</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.089041</td>\n",
       "      <td>0.068447</td>\n",
       "      <td>0.492958</td>\n",
       "      <td>0.427562</td>\n",
       "      <td>0.472100</td>\n",
       "      <td>0.157480</td>\n",
       "      <td>0.772455</td>\n",
       "      <td>0.169231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>0.203540</td>\n",
       "      <td>0.376712</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.082192</td>\n",
       "      <td>0.113523</td>\n",
       "      <td>0.098592</td>\n",
       "      <td>0.095406</td>\n",
       "      <td>0.615272</td>\n",
       "      <td>0.740157</td>\n",
       "      <td>0.227545</td>\n",
       "      <td>0.184615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>0.230088</td>\n",
       "      <td>0.352740</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.116438</td>\n",
       "      <td>0.108514</td>\n",
       "      <td>0.211268</td>\n",
       "      <td>0.282686</td>\n",
       "      <td>0.544053</td>\n",
       "      <td>0.606299</td>\n",
       "      <td>0.125749</td>\n",
       "      <td>0.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>0.194690</td>\n",
       "      <td>0.356164</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.082192</td>\n",
       "      <td>0.121870</td>\n",
       "      <td>0.239437</td>\n",
       "      <td>0.335689</td>\n",
       "      <td>0.406021</td>\n",
       "      <td>0.472441</td>\n",
       "      <td>0.113772</td>\n",
       "      <td>0.276923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>0.371681</td>\n",
       "      <td>0.082192</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.109589</td>\n",
       "      <td>0.118531</td>\n",
       "      <td>0.338028</td>\n",
       "      <td>0.180212</td>\n",
       "      <td>0.604258</td>\n",
       "      <td>0.511811</td>\n",
       "      <td>0.125749</td>\n",
       "      <td>0.123077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>0.159292</td>\n",
       "      <td>0.178082</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.089041</td>\n",
       "      <td>0.043406</td>\n",
       "      <td>0.197183</td>\n",
       "      <td>0.067138</td>\n",
       "      <td>0.372247</td>\n",
       "      <td>0.551181</td>\n",
       "      <td>0.191617</td>\n",
       "      <td>0.415385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>0.212389</td>\n",
       "      <td>0.315068</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.068493</td>\n",
       "      <td>0.131886</td>\n",
       "      <td>0.464789</td>\n",
       "      <td>0.416961</td>\n",
       "      <td>0.406021</td>\n",
       "      <td>0.551181</td>\n",
       "      <td>0.089820</td>\n",
       "      <td>0.323077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>0.371681</td>\n",
       "      <td>0.143836</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.342466</td>\n",
       "      <td>0.101836</td>\n",
       "      <td>0.084507</td>\n",
       "      <td>0.024735</td>\n",
       "      <td>0.477974</td>\n",
       "      <td>0.440945</td>\n",
       "      <td>0.173653</td>\n",
       "      <td>0.569231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1197 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          固定酸度     挥发性酸度   柠檬酸        残糖       氯化物    游离二氧化硫     总二氧化硫  \\\n",
       "508   0.477876  0.321918  0.31  0.089041  0.130217  0.352113  0.197880   \n",
       "1490  0.274336  0.287671  0.26  0.068493  0.128548  0.309859  0.498233   \n",
       "720   0.221239  0.130137  0.30  0.089041  0.068447  0.492958  0.427562   \n",
       "296   0.203540  0.376712  0.06  0.082192  0.113523  0.098592  0.095406   \n",
       "862   0.230088  0.352740  0.07  0.116438  0.108514  0.211268  0.282686   \n",
       "...        ...       ...   ...       ...       ...       ...       ...   \n",
       "163   0.194690  0.356164  0.10  0.082192  0.121870  0.239437  0.335689   \n",
       "607   0.371681  0.082192  0.54  0.109589  0.118531  0.338028  0.180212   \n",
       "1568  0.159292  0.178082  0.14  0.089041  0.043406  0.197183  0.067138   \n",
       "414   0.212389  0.315068  0.12  0.068493  0.131886  0.464789  0.416961   \n",
       "971   0.371681  0.143836  0.41  0.342466  0.101836  0.084507  0.024735   \n",
       "\n",
       "            密度       PH值       硫酸盐        酒精  \n",
       "508   0.685022  0.346457  0.179641  0.276923  \n",
       "1490  0.461821  0.409449  0.155689  0.200000  \n",
       "720   0.472100  0.157480  0.772455  0.169231  \n",
       "296   0.615272  0.740157  0.227545  0.184615  \n",
       "862   0.544053  0.606299  0.125749  0.200000  \n",
       "...        ...       ...       ...       ...  \n",
       "163   0.406021  0.472441  0.113772  0.276923  \n",
       "607   0.604258  0.511811  0.125749  0.123077  \n",
       "1568  0.372247  0.551181  0.191617  0.415385  \n",
       "414   0.406021  0.551181  0.089820  0.323077  \n",
       "971   0.477974  0.440945  0.173653  0.569231  \n",
       "\n",
       "[1197 rows x 11 columns]"
      ]
     },
     "execution_count": 479,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 初始化线性回归模型\n",
    "model = LinearRegression()\n",
    "# 训练模型\n",
    "model.fit(X_train, y_train)\n",
    "X_train"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98765d66",
   "metadata": {},
   "source": [
    "### 分析模型可靠性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "id": "f5efa1b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集 R^2: 0.345\n",
      "测试集 R^2: 0.409\n"
     ]
    }
   ],
   "source": [
    "# 决定系数 R^2\n",
    "r2_train = model.score(X_train, y_train)\n",
    "r2_test = model.score(X_test, y_test)\n",
    "print(f\"训练集 R^2: {r2_train:.3f}\")\n",
    "print(f\"测试集 R^2: {r2_test:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b3272f8",
   "metadata": {},
   "source": [
    "### 误差分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "id": "667d475b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方误差 (MSE): 0.014\n",
      "平均绝对误差 (MAE): 0.093\n"
     ]
    }
   ],
   "source": [
    "# 对测试集进行预测\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# 计算误差\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "mae = mean_absolute_error(y_test, y_pred)\n",
    "print(f\"均方误差 (MSE): {mse:.3f}\")\n",
    "print(f\"平均绝对误差 (MAE): {mae:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c0aaf58",
   "metadata": {},
   "source": [
    "### 模型参数检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "id": "d4f38bbc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "回归模型摘要：\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   质量评分   R-squared:                       0.345\n",
      "Model:                            OLS   Adj. R-squared:                  0.338\n",
      "Method:                 Least Squares   F-statistic:                     56.63\n",
      "Date:                Sat, 16 Nov 2024   Prob (F-statistic):          9.78e-101\n",
      "Time:                        19:51:19   Log-Likelihood:                 723.47\n",
      "No. Observations:                1197   AIC:                            -1423.\n",
      "Df Residuals:                    1185   BIC:                            -1362.\n",
      "Df Model:                          11                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          0.5349      0.036     14.958      0.000       0.465       0.605\n",
      "固定酸度           0.0178      0.070      0.256      0.798      -0.119       0.154\n",
      "挥发性酸度         -0.2989      0.041     -7.211      0.000      -0.380      -0.218\n",
      "柠檬酸           -0.0249      0.035     -0.720      0.472      -0.093       0.043\n",
      "残糖             0.0078      0.052      0.149      0.881      -0.094       0.110\n",
      "氯化物           -0.2030      0.058     -3.479      0.001      -0.317      -0.088\n",
      "游离二氧化硫         0.0795      0.037      2.138      0.033       0.007       0.153\n",
      "总二氧化硫         -0.2149      0.050     -4.266      0.000      -0.314      -0.116\n",
      "密度            -0.0051      0.069     -0.074      0.941      -0.141       0.131\n",
      "PH值           -0.1222      0.059     -2.082      0.038      -0.237      -0.007\n",
      "硫酸盐            0.2852      0.045      6.275      0.000       0.196       0.374\n",
      "酒精             0.3697      0.041      8.992      0.000       0.289       0.450\n",
      "==============================================================================\n",
      "Omnibus:                       25.895   Durbin-Watson:                   2.016\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               35.672\n",
      "Skew:                          -0.236   Prob(JB):                     1.79e-08\n",
      "Kurtosis:                       3.702   Cond. No.                         41.0\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "X_train_sm = sm.add_constant(X_train)  # 添加常数项\n",
    "ols_model = sm.OLS(y_train, X_train_sm).fit()\n",
    "\n",
    "# 输出回归模型的摘要\n",
    "print(\"\\n回归模型摘要：\")\n",
    "print(ols_model.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f78f48a5",
   "metadata": {},
   "source": [
    "### 报告回归结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 497,
   "id": "35e030b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\zyf65\\AppData\\Local\\Temp\\ipykernel_61496\\2821965237.py:5: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n",
      "  plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', c=\"red\", lw=2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#通过绘制散点图直观观察真实值和预测值的拟合\n",
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.scatter(y_test, y_pred, alpha=0.7, color=\"blue\")\n",
    "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', c=\"red\", lw=2)\n",
    "plt.xlabel(\"真实值\")\n",
    "plt.ylabel(\"预测值\")\n",
    "plt.title(\"真实值与预测值的对比\")\n",
    "plt.savefig(\"./图片/回归结果.jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "196f4e04",
   "metadata": {},
   "source": [
    "# 新数据预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 491,
   "id": "db3e1022",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>固定酸度</th>\n",
       "      <th>挥发性酸度</th>\n",
       "      <th>柠檬酸</th>\n",
       "      <th>残糖</th>\n",
       "      <th>氯化物</th>\n",
       "      <th>游离二氧化硫</th>\n",
       "      <th>总二氧化硫</th>\n",
       "      <th>密度</th>\n",
       "      <th>PH值</th>\n",
       "      <th>硫酸盐</th>\n",
       "      <th>酒精</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>0.430</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.106</td>\n",
       "      <td>10.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.9966</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.1</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.800</td>\n",
       "      <td>14.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.9972</td>\n",
       "      <td>3.47</td>\n",
       "      <td>0.55</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.082</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.9964</td>\n",
       "      <td>3.38</td>\n",
       "      <td>0.59</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   固定酸度  挥发性酸度   柠檬酸   残糖    氯化物  游离二氧化硫  总二氧化硫      密度   PH值   硫酸盐   酒精  质量评分\n",
       "0   7.9  0.430  0.21  1.6  0.106    10.0   37.0  0.9966  3.17  0.10  9.5     5\n",
       "1   7.1  0.710  0.00  1.9  0.800    14.0   35.0  0.9972  3.47  0.55  9.4     5\n",
       "2   7.8  0.645  0.00  2.0  0.082     8.0   16.0  0.9964  3.38  0.59  9.8     6"
      ]
     },
     "execution_count": 491,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_data = pd.DataFrame([[7.9, 0.43, 0.21, 1.6, 0.106, 10.0, 37.0,0.9966, 3.17, 0.1, 9.5, 5],\n",
    "                        [7.1, 0.71, 0.0, 1.9, 0.8, 14.0, 35.0, 0.9972, 3.47, 0.55, 9.4, 5],\n",
    "                        [7.8, 0.645, 0.0, 2.0, 0.082, 8.0, 16.0, 0.9964, 3.38, 0.59, 9.8, 6]],\n",
    "                        columns=[\"固定酸度\",\"挥发性酸度\",\"柠檬酸\",\"残糖\",\"氯化物\",\"游离二氧化硫\",\"总二氧化硫\",\"密度\",\"PH值\",\"硫酸盐\",\"酒精\",\"质量评分\"])\n",
    "new_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 492,
   "id": "4bdfc231",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.42378511 0.05842966 0.89805331]\n"
     ]
    }
   ],
   "source": [
    "# 1. 对新数据进行标准化（使用与训练数据相同的标准化器）\n",
    "features = new_data.select_dtypes(include=['float64', 'int64']).columns\n",
    "new_data[features] = scaler.fit_transform(new_data[features])\n",
    "# 2. 对标准化后的新数据进行归一化（使用与训练数据相同的归一化器）\n",
    "new_data_normalized = pd.DataFrame(scaler_minmax.fit_transform(new_data),columns=new_data.columns)\n",
    "#分割数据\n",
    "X_new = new_data_normalized.drop(columns=[\"质量评分\"])  # 特征数据\n",
    "y_new = new_data_normalized[\"质量评分\"]  # 标签数据\n",
    "# 对新数据进行预测（假设new_data是新的数据）\n",
    "predictions = model.predict(X_new)\n",
    "print(predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "id": "efa86058",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    0.0\n",
      "1    0.0\n",
      "2    1.0\n",
      "Name: 质量评分, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#真实值\n",
    "print(y_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "id": "7523ba48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制真实值与预测值的散点图\n",
    "plt.figure(figsize=(6,4))\n",
    "sns.scatterplot(x=y_new, y=predictions)\n",
    "\n",
    "# 绘制 y=x 线，表示真实值与预测值完全一致的情况\n",
    "plt.plot([y_new.min(), y_new.max()], [predictions.min(), predictions.max()], color='red', linestyle='--')\n",
    "\n",
    "# 设置图表标签和标题\n",
    "plt.title('真实值与预测值对比 (OLS回归模型)', fontsize=15)\n",
    "plt.xlabel('真实值', fontsize=12)\n",
    "plt.ylabel('预测值', fontsize=12)\n",
    "plt.savefig(\"./图片/新数据真实值与预测值对比\")\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02cf9885",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "223.6px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
